Machine Learning in Medical Imaging
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
(Sprache: Englisch)
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*
The 71 papers presented in this volume were...
The 71 papers presented in this volume were...
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Klappentext zu „Machine Learning in Medical Imaging “
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*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.
Inhaltsverzeichnis zu „Machine Learning in Medical Imaging “
Contrastive Representations for Continual Learning of Fine-grained Histology Images.-
Bibliographische Angaben
- 2021, 1st ed. 2021, XVIII, 704 Seiten, 232 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan
- Verlag: Springer, Berlin
- ISBN-10: 3030875881
- ISBN-13: 9783030875886
Sprache:
Englisch
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