Machine learning in medical imaging :: 10th International Workshop, MLMI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /: Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian (eds.).

Suk, Heung-Il,; Liu, Mingxia; Yan, Pingkun,; Lian, Chunfeng,

doi:10.1007/978-3-030-32692-0

Machine learning in medical imaging : 10th International Workshop, MLMI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian (eds.).

MLMI (Workshop) (10th : 2019 : Shenzhen Shi, China); Suk, Heung-Il, editor.; Liu, Mingxia (Research instructor), editor.; Yan, Pingkun, editor.; Lian, Chunfeng, editor.; International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China), jointly held conference.

2019

RC78.7.D53

Available Online

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Title

Machine learning in medical imaging : 10th International Workshop, MLMI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian (eds.).

Meeting Name

MLMI (Workshop) (10th : 2019 : Shenzhen Shi, China)

ISBN

9783030326920 (electronic book)
3030326926 (electronic book)
9783030326913

DOI

https://doi.org/10.1007/978-3-030-32692-0
https://doi.org/10.1007/978-3-030-32

Published

Cham, Switzerland : Springer, 2019.

Language

English

Description

1 online resource (xviii, 695 pages) : illustrations.

Item Number

10.1007/978-3-030-32692-0 doi
10.1007/978-3-030-32

Call Number

RC78.7.D53

Dewey Decimal Classification

006.6

Summary

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. The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. 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.

Note

International conference proceedings.
Includes author index.

Access Note

Access limited to authorized users.

Source of Description

Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019).

Added Author

Suk, Heung-Il, editor.
Liu, Mingxia (Research instructor), editor.
Yan, Pingkun, editor.
Lian, Chunfeng, editor.

Added Meeting Name

International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China), jointly held conference.

Series

Lecture notes in computer science ; 11861.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.