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Vol Machine Learning for Medical Applications

Computer Vision, Image Processing, Disease Detection
  • Edited by: Ranjith Rajamanickam , Amit Sharma , Dhivya Ranjith and J. Paulo Davim
Language: English
Published/Copyright: 2025
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About this book

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.

Offers a thorough exploration of the intersection between machine learning and medical applications
Addresses critical healthcare challenges such as disease diagnosis, treatment optimization, patient monitoring and personalized medicine

Author / Editor information

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


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Publishing information
Pages and Images/Illustrations in book
eBook published on:
September 8, 2025
eBook ISBN:
9783112205198
Hardcover published on:
September 8, 2025
Hardcover ISBN:
9783119147828
Pages and Images/Illustrations in book
Front matter:
10
Main content:
532
Illustrations:
136
Tables:
0
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