Machine Learning for Medical Applications Computer Vision, Image Processing, Disease Detection

Rajamanickam, Ranjith (Author)/ Sharma, Amit (Author)/ Ranjith, Dhivya (Author)/ Davim, J. Paulo (Author)

ISBN 10: 3119147826 / ISBN 13: 9783119147828

Published by De Gruyter, 2025

About this Item

542 pages. In Stock.

Seller Inventory # __3119147826

Bibliographic Details

• Title: Machine Learning for Medical Applications Computer Vision, Image Processing, Disease Detection
• Publisher: De Gruyter
• Publication Date: 2025
• Language: English
• ISBN 10: 3119147826
• ISBN 13: 9783119147828
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.67 kilograms

About this title

Synopsis

Machine Learning for Medical Applications – Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and diagnostics. With a focus on deep learning methods, the volume covers a wide spectrum of innovations including medical image segmentation, predictive modeling, tissue engineering, smart biomaterials, and personalized implant design through 3D printing. Contributors from academia and industry present state-of-the-art applications involving quantum dot functionalization, AI-enhanced diagnostic materials, and real-time image analysis. Each chapter provides both foundational knowledge and practical insight into how advanced algorithms can drive medical breakthroughs. Ideal for medical technologists, data scientists, biomedical engineers, and clinical practitioners, this volume emphasizes the role of machine learning in developing faster, smarter, and more accurate diagnostic tools for the next generation of personalized medicine.

About the Author

R. Ranjith, Amit Sharma, R. Dhivya, India; J. Paulo Davim, Portugal.