Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings: 11861 - Brossura

Brossura

ISBN 10: 3030326918 ISBN 13: 9783030326913

Casa editrice: Springer, 2019

Riassunto

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.&nbsp;<br><br><div>The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions.&nbsp;</div><div>They focus on major trends and challenges in the 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.&nbsp;</div>

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3030326918
• ISBN 13: 9783030326913
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 716
• Redattore: Suk Heung-Il, Liu Mingxia, Yan Pingkun, Lian Chunfeng
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania