| Title | : | Machine Learning in Medical Imaging |
|---|---|---|
| Author | : | Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu & Pingkun Yan |
| Release | : | 2021-09-25 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Computers, Science & Nature, Biology |
| Size | : | 125173061 |
| 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. |
