Overview
In the age of digital healthcare, medical imaging and disease diagnostics are being transformed by artificial intelligence. A thorough examination of state-of-the-art Computer-Aided Diagnosis (CAD) methods is provided by this book, which combines conventional machine learning, deep learning architectures, and cutting-edge technologies like generative AI.
This book offers a critical analysis of several Convolutional Neural Network (CNN) models using benchmark datasets in a systematic review that follows the PRISMA methodology. It presents an improved diagnostic framework that is appropriate for real-time clinical applications since it delivers excellent accuracy with less processing complexity. This work is a vital resource for AI researchers, doctors, and students working at the nexus of intelligent computing and healthcare, with a particular emphasis on model evaluation, validation techniques, and real-world implementation.
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Details
- ISBN-13: 9781036469443
- ISBN-10: 1036469441
- Publisher: Cambridge Scholars Publishing
- Publish Date: April 2026
- Dimensions: 8 x 6 x 0.7 inches
- Shipping Weight: 1 pounds
- Page Count: 225
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