Data & IT
Pocket
Machine Learning in Medical Imaging
Chunfeng Lian • Xiaohuan Cao • Islem Rekik • Xuanang Xu • Pingkun Yan
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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.
- Format: Pocket/Paperback
- ISBN: 9783030875886
- Språk: Engelska
- Antal sidor: 704
- Utgivningsdatum: 2021-09-27
- Förlag: Springer Nature Switzerland AG