Machine Learning in Medical Imaging / Lecture Notes in Computer Science Bd.12966 (PDF)
The 71 papers presented in this volume were...
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The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.
*The workshop was held virtually.
- 2021, 1st ed. 2021, 704 Seiten, Englisch
- Herausgegeben: Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
- Verlag: Springer International Publishing
- ISBN-10: 303087589X
- ISBN-13: 9783030875893
- Erscheinungsdatum: 25.09.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 130 MB
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