Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare
Description
This book brings together cutting-edge research and innovative applications of artificial intelligence, machine learning, wearable technologies and decision support systems in modern healthcare. The chapters demonstrate how these artificial intelligence innovations are driving next-generation healthcare solutions. The chapters present diverse clinical applications through advanced artificial intelligence approaches in diagnostics, treatment, rehabilitation and healthcare management, with a strong emphasis on patient-centred solutions. This book is directed to students, professors, researchers, practitioners in the field of healthcare, engineering, computer science and related areas.
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Self-supervised and disease management system for diabetic retinopathy detection.- GAN-enhanced Abdominal MR-CT Image Fusion in Transform Domain.- U-Net with Attention for the Automatic Segmentation of the Major Temporal Arcade in Retinal Fundus Images.- Harnessing Few-Shot Learning Segmentation for Histopathology: A Comprehensive Practical Study.- Healthcare Applications of Object Detection for Tumor Detection Across Diverse Medical Imaging.- Automatic Multilabel Classification of Coronary Stenosis using Lightweight Deep
Learning Techniques.