Overview
Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches discusses how advanced deep learning techniques enhance medical image analysis. These advances offer promising progress in healthcare through improvements in diagnostic accuracy, efficiency in medical image interpretation, and breakthroughs in treatment planning. The book begins by explaining foundational concepts of deep learning and Convolutional Neural Networks (CNNs) to show how they extract meaningful features from medical images for tasks such as diagnosis and segmentation. It then explores Kronecker convolutions, highlighting their ability to better capture spatial hierarchies, use parameters more efficiently, and adapt to unique medical image characteristics. Subsequent sections cover applications like tumor detection, organ segmentation, and disease classification and examine real-world implementations of AI in diagnostic imaging, precision medicine, and continuous health monitoring through wearable devices. The final section addresses challenges, emerging trends, and future directions, emphasising how these techniques could shape advanced healthcare. Throughout the book, the authors bridge medicine, computer science, and machine learning to address complex problems in medical imaging and healthcare.
Full Product Details
Author: Firdos Alam Khan (Bin Faisal University, United Arab Emirates)
Publisher: Elsevier Science Publishing Co Inc
Imprint: Academic Press Inc
Weight: 0.450kg
ISBN: 9780443333477
ISBN 10: 0443333475
Pages: 404
Publication Date: 30 January 2026
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Forthcoming
Availability: Not yet available
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Author Information
Prof. Firdos Alam Khan is a Chairman of the Department of Stem Cell Biology, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. Prof. Khan has done his Ph.D. degree in Zoology with a Neuroscience specialization from Nagpur University, India. Over the past years, he has been involved in teaching various courses to undergraduate and postgraduate students. Prof. Khan has been granted 8 US patents and published 5 US patents. Professor Khan has authored and edited several books. Prof. Khan has been a recognized reviewer in several scientific journals. Prof. Khan is listed among the top 2% scientists of the world by Stanford University Top Scientists Ranking 2022. Prof. Khan has published 115 research papers in peer-reviewed journals. Prof. Khan is currently studying the therapeutic impact of different biomolecules, biomaterials, and nanomaterials on breast, colorectal and cervical cancer cells, non-cancerous cells and stem cells.
