Machine Learning in Medical Imaging  12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /  [electronic resource] : 
edited by Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan. 
 - 1st ed. 2021. 
 - XVIII, 704 p. 248 illus., 232 illus. in color.  online resource. 
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  12966  3004-9954 ; .
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  12966 .
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030875893 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-87589-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision.<br/>Artificial intelligence.<br/>Computer engineering.<br/>Computer networks .<br/>Pattern recognition systems.<br/>Bioinformatics.<br/>Computer Vision.<br/>Artificial Intelligence.<br/>Computer Engineering and Networks.<br/>Automated Pattern Recognition.<br/>Computational and Systems Biology.
<br/><br/><label>LC Class. No.: </label>TA1634 
<br/><br/><label>Dewey Class. No.: </label>006.37