Artificial Intelligence in Diagnostics and Imaging Technologies in Healthcare
Springer International Publishing (Verlag)
978-3-031-98148-7 (ISBN)
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.
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.
| Erscheinungsdatum | 20.07.2025 |
|---|---|
| Reihe/Serie | Intelligent Systems Reference Library |
| Zusatzinfo | X, 229 p. 95 illus., 85 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Technik | |
| Schlagworte | Artificial Intelligence • Deep learning • Healthcare • Imaging Technologies • Intelligent diagnostic • Intelligent Technology |
| ISBN-10 | 3-031-98148-0 / 3031981480 |
| ISBN-13 | 978-3-031-98148-7 / 9783031981487 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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