Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications (Advances in Computational Collective Intelligence) - Tapa blanda

9781032626338: Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications (Advances in Computational Collective Intelligence)

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ISBN 10: 103262633X ISBN 13: 9781032626338

Editorial: Auerbach Publications, 2025

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The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, health practitioners, and students will all benefit from the knowledge in this book.

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Amjad Rehman Khan (Senior Member, IEEE) earned a Ph.D. from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, specializing in information security using image processing techniques in 2010. He received a Rector Award for the 2010 Best Student from UTM Malaysia. He is currently associate professor at CCIS Prince Sultan University Riyadh, Saudi Arabia. He is also a principal investigator in several projects and completed projects funded by MoHE Malaysia, Saudi Arabia. His research interests are bioinformatics, IoT, information security, and pattern recognition.

Tanzila Saba (Senior Member, IEEE) received his Ph.D. degree in document information security and management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, in 2012. She is currently a full professor with the College of Computer and Information Sciences, Prince Sultan University (PSU), Riyadh, Saudi Arabia, and also the leader of the AIDA Laboratory. She has published over 300 publications in high-ranked journals. Her primary research interests include bioinformatics, data mining, and classification using AI models. She received the Best Student Award from the Faculty of Computing, UTM, in 2012 and also received the best researcher award from PSU, from 2013 to 2016. She is the editor of several reputed journals and on a panel of TPC of international conferences.

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Editorial: Auerbach Publications
A�o de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 103262633X
ISBN 13: 9781032626338
Encuadernaci�n: Tapa blanda
N�mero de edici�n: 1
N�mero de p�ginas: 268
Editor: Khan Amjad Rehman, Saba Tanzila
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9781032598987: Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications (Advances in Computational Collective Intelligence)

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Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications (Advances in Computational Collective Intelligence)

Publicado por Auerbach Publications, 2025

ISBN 10: 103262633X ISBN 13: 9781032626338

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Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications

Amjad Rehman Khan

Publicado por Taylor & Francis Ltd, 2025

ISBN 10: 103262633X ISBN 13: 9781032626338

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Explainable Artificial Intelligence in Medical Imaging (Advances in Computational Collective Intelligence)

Publicado por Auerbach Publications, 2025

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Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications (Advances in Computational Collective Intelligence)

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Explainable Artificial Intelligence in Medical Imaging (Paperback)

Amjad Rehman Khan

Publicado por Taylor & Francis Ltd, London, 2025

ISBN 10: 103262633X ISBN 13: 9781032626338

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Paperback. Condici�n: new. Paperback. Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industrys next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered.Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. This book overviews the principles, methods, issues, challenges, opportunities, and the most recent research findings. It makes the emerging topics of digital health and explainable AI in health care and medical imaging accessible to a wide audience by presenting various practical applications.Presenting a thorough review of state-of-the-art techniques for precise analysis and diagnosis, the book emphasizes explainable artificial intelligence and its applications in healthcare. The book also discusses computational vision processing methods that manage complicated data, including physiological data, electronic medical records, and medical imaging data, enabling early prediction. Researchers, academics, business professionals, health practitioners, and students all can benefit from this books insights and coverage. The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, health practitioners, and students will all benefit from the knowledge in this book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de ref. del art�culo: 9781032626338

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