Atsiliepimai
Aprašymas
This book discusses the key concepts of AI in imaging and healthcare. It includes a critical analysis of its algorithms and applications, along with emerging trends in medical diagnostics, device optimization, and personalized medicine. The book uses metadata heuristic algorithms, deep learning for disease detection, medical image segmentation, explainable AI, and IoT and hybrid algorithms integrating all this into the healthcare system. Besides, the book touches on specific issues such as CNNs, multi-class and multi-label disease classification, and digital transformation of health services. Special features of the book include:
The book is specifically oriented towards researchers, practitioners, and students in the areas of artificial intelligence, medical imaging, healthcare technology, and bioinformatics.
This book discusses the key concepts of AI in imaging and healthcare. It includes a critical analysis of its algorithms and applications, along with emerging trends in medical diagnostics, device optimization, and personalized medicine. The book uses metadata heuristic algorithms, deep learning for disease detection, medical image segmentation, explainable AI, and IoT and hybrid algorithms integrating all this into the healthcare system. Besides, the book touches on specific issues such as CNNs, multi-class and multi-label disease classification, and digital transformation of health services. Special features of the book include:
The book is specifically oriented towards researchers, practitioners, and students in the areas of artificial intelligence, medical imaging, healthcare technology, and bioinformatics.
Atsiliepimai