Application Of Artificial Intelligence In Early Detection Of Lung Cancer

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• Author : Amlan Chakrabarti,Madhuchanda Kar,Jhilam Mukherjee,Sayan Das
• Publisher : Academic Press
• Release Date : 2023-04-01
• Total pages : 0
• ISBN : 0323952453
• File Size : 34,6 Mb
• Total Download : 932
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Download Application of Artificial Intelligence in Early Detection of Lung Cancer in PDF, Epub, and Kindle

Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered as the early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients' outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging; pattern recognition techniques; deep learning; and nodule detection and localization. In addition, it discusses risk prediction based on radiological analysis and 3D modeling. It is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer.

• Author : Ayman El-Baz,Jasjit S. Suri
• Publisher : IOP Publishing Limited
• Release Date : 2022-01-20
• Total pages : 450
• ISBN : 0750333537
• File Size : 31,8 Mb
• Total Download : 736
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Download Detection Systems in Lung Cancer and Imaging, Volume 1 in PDF, Epub, and Kindle

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of Computer aided diagnosis (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students. Key Features:  -Unique focus on advance work in detection system and classification systems. -An updated reference for lung cancer detection via imaging. -Focus on progressive deep learning and machine learning applications for more effective detection.

• Author : Jie Yang,Shigao Huang
• Publisher : Bentham Science Publishers
• Release Date : 2021-06-01
• Total pages : 154
• ISBN : 9781681088426
• File Size : 45,7 Mb
• Total Download : 387
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Download Current and Future Application of Artificial Intelligence in Clinical Medicine in PDF, Epub, and Kindle

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

• Author : Abdulhamit Subasi
• Publisher : Academic Press
• Release Date : 2022-11-28
• Total pages : 381
• ISBN : 9780443184512
• File Size : 15,5 Mb
• Total Download : 705
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Download Applications of Artificial Intelligence in Medical Imaging in PDF, Epub, and Kindle

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

• Author : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
• Publisher : Springer Nature
• Release Date : 2021-09-29
• Total pages : 593
• ISBN : 9789811573170
• File Size : 16,8 Mb
• Total Download : 189
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Download Applications of Artificial Intelligence in COVID-19 in PDF, Epub, and Kindle

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

• Author : James G. Ravenel
• Publisher : Springer Science & Business Media
• Release Date : 2013-06-22
• Total pages : 194
• ISBN : 9781607616207
• File Size : 30,8 Mb
• Total Download : 416
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Download Lung Cancer Imaging in PDF, Epub, and Kindle

While specialists often guide the care to lung cancer patients, it is often a general radiologist who is left to interpret studies that impact patient care and management. Lung Cancer Imaging provides a comprehensive guide to the diagnosis, staging and overview of the management of lung cancer relevant to practicing radiologists so that they can better understand the decision making issues and provide more directed and useful communication to the treating physicians. It Primary Care physicians will also find this book valuable to understand the relevant issues that they face when one of their patients is being treated for lung cancer.

• Author : Bhuvan Unhelker,Hari Mohan Pandey,Gaurav Raj
• Publisher : Springer Nature
• Release Date : 2022-09-13
• Total pages : 792
• ISBN : 9789811948312
• File Size : 33,5 Mb
• Total Download : 903
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Download Applications of Artificial Intelligence and Machine Learning in PDF, Epub, and Kindle

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

• Author : D. Jude Hemanth,G. Vadivu,M. Sangeetha,Valentina Emilia Balas
• Publisher : Springer Nature
• Release Date : 2020-07-23
• Total pages : 534
• ISBN : 9789811553295
• File Size : 47,6 Mb
• Total Download : 603
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Download Artificial Intelligence Techniques for Advanced Computing Applications in PDF, Epub, and Kindle

This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23–24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics

• Author : Utku Kose,Jafar Alzubi
• Publisher : Springer Nature
• Release Date : 2020-09-12
• Total pages : 300
• ISBN : 9789811563218
• File Size : 23,8 Mb
• Total Download : 264
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Download Deep Learning for Cancer Diagnosis in PDF, Epub, and Kindle

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

• Author : Jiuquan Zhang,Hong Huang,Wenli Cai
• Publisher : Frontiers Media SA
• Release Date : 2022-03-21
• Total pages : 471
• ISBN : 9782889747443
• File Size : 29,6 Mb
• Total Download : 671
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Download The Application of Radiomics and Artificial Intelligence in Cancer Imaging in PDF, Epub, and Kindle

PDF book entitled The Application of Radiomics and Artificial Intelligence in Cancer Imaging written by Jiuquan Zhang,Hong Huang,Wenli Cai and published by Frontiers Media SA which was released on 2022-03-21 with total hardcover pages 471, the book become popular and critical acclaim.

• Author : Houneida Sakly,Kristen Yeom,Safwan Halabi,Mourad Said,Jayne Seekins,Moncef Tagina
• Publisher : Springer Nature
• Release Date : 2023-02-02
• Total pages : 256
• ISBN : 9783031111990
• File Size : 17,6 Mb
• Total Download : 536
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Download Trends of Artificial Intelligence and Big Data for E-Health in PDF, Epub, and Kindle

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.

• Author : Yutong He,Xue Qin Yu,Chen Wanqing,Jackilen Shannon,Yingsong Lin
• Publisher : Frontiers Media SA
• Release Date : 2023-05-08
• Total pages : 252
• ISBN : 9782832522875
• File Size : 11,7 Mb
• Total Download : 813
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Download Epidemiology, screening and diagnosis of lung cancer in PDF, Epub, and Kindle

PDF book entitled Epidemiology, screening and diagnosis of lung cancer written by Yutong He,Xue Qin Yu,Chen Wanqing,Jackilen Shannon,Yingsong Lin and published by Frontiers Media SA which was released on 2023-05-08 with total hardcover pages 252, the book become popular and critical acclaim.

• Author : Meenu Gupta,Rachna Jain,Arun Solanki,Fadi Al-Turjman
• Publisher : CRC Press
• Release Date : 2021-12-31
• Total pages : 202
• ISBN : 9781000508666
• File Size : 23,8 Mb
• Total Download : 175
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Download Cancer Prediction for Industrial IoT 4.0 in PDF, Epub, and Kindle

Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines. Features • Covers the fundamentals, history, reality and challenges of cancer • Presents concepts and analysis of different cancers in humans • Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer • Offers real-world examples of cancer prediction • Reviews strategies and tools used in cancer prediction • Explores the future prospects in cancer prediction and treatment Readers will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions. This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers.

• Author : Muskan Garg,Amit Kumar Gupta,Rajesh Prasad
• Publisher : CRC Press
• Release Date : 2022-12-27
• Total pages : 272
• ISBN : 9781000789300
• File Size : 45,8 Mb
• Total Download : 939
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Download Graph Learning and Network Science for Natural Language Processing in PDF, Epub, and Kindle

Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models. Features: -Presents a comprehensive study of the interdisciplinary graphical approach to NLP -Covers recent computational intelligence techniques for graph-based neural network models -Discusses advances in random walk-based techniques, semantic webs, and lexical networks -Explores recent research into NLP for graph-based streaming data -Reviews advances in knowledge graph embedding and ontologies for NLP approaches This book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.

• Author : Ayman S. El-Baz,Jasjit S. Suri
• Publisher : Unknown
• Release Date : 2022
• Total pages : 0
• ISBN : 0750335947
• File Size : 49,5 Mb
• Total Download : 910
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Download Artificial Intelligence in Cancer Diagnosis and Prognosis in PDF, Epub, and Kindle

Within this first volume dealing with lung and kidney cancer, the editors and authors detail the latest research related to the application of artificial intelligence (AI) to cancer diagnosis and prognosis and summarize its advantages. It is the intention of the editors and authors to explore how AI assists in these activities, specifically with regard to its unprecedented accuracy, which is even higher than that of general statistical applications in oncology. Ways will also be demonstrated as to how these methods in AI are advancing the field. There have been thousands of papers written between 1995 and 2019 related to AI for cancer diagnosis and prognosis. However, to date (to the best of our knowledge) there has not yet been published a comprehensive overview of the latest findings pertaining to these AI technologies, within a single book project. Therefore, the purpose of this three-volume work, and particularly for this first volume dealing with lung and kidney cancer, is to present a compendium of these findings related to these two pervasive cancers. Within this coverage it is our hope that scientists, researchers and clinicians can successfully incorporate these techniques into other significant cancers such as pancreatic, esophageal leukemia, melanoma, etc. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.

• Author : Kishan G. Mehrotra,Chilukuri Krishna Mohan,Jae C. Oh,Pramod K. Varshney,Moonis Ali
• Publisher : Springer Science & Business Media
• Release Date : 2011-06-17
• Total pages : 599
• ISBN : 9783642218262
• File Size : 51,5 Mb
• Total Download : 336
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Download Modern Approaches in Applied Intelligence in PDF, Epub, and Kindle

The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.

• Author : Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik
• Publisher : John Wiley & Sons
• Release Date : 2022-02-23
• Total pages : 224
• ISBN : 9781119742982
• File Size : 18,9 Mb
• Total Download : 670
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Download Applied Smart Health Care Informatics in PDF, Epub, and Kindle

Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

• Author : Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
• Publisher : Springer Science & Business Media
• Release Date : 2010-09-08
• Total pages : 458
• ISBN : 9783642144639
• File Size : 53,8 Mb
• Total Download : 542
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Download Computational Intelligence in Healthcare 4 in PDF, Epub, and Kindle

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

• Author : Dharm Singh Jat,Samiksha Shukla,Aynur Unal,Durgesh Kumar Mishra
• Publisher : Springer Nature
• Release Date : 2020-07-31
• Total pages : 322
• ISBN : 9789811553097
• File Size : 15,6 Mb
• Total Download : 857
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Download Data Science and Security in PDF, Epub, and Kindle

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.

• Author : Bikesh Kumar Singh,G.R. Sinha
• Publisher : CRC Press
• Release Date : 2022-02-18
• Total pages : 252
• ISBN : 9781000540406
• File Size : 13,6 Mb
• Total Download : 372
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Download Machine Learning in Healthcare in PDF, Epub, and Kindle

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.

• Author : Carlo N. De Cecco,Marly van Assen,Tim Leiner
• Publisher : Springer Nature
• Release Date : 2022-04-22
• Total pages : 595
• ISBN : 9783030920876
• File Size : 23,5 Mb
• Total Download : 940
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Download Artificial Intelligence in Cardiothoracic Imaging in PDF, Epub, and Kindle

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.