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Machine Learning in Medical Imaging : 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Authors :
Chunfeng Lian
Xiaohuan Cao
Islem Rekik
Xuanang Xu
Zhiming Cui
Chunfeng Lian
Xiaohuan Cao
Islem Rekik
Xuanang Xu
Zhiming Cui
Publication Year :
2022

Abstract

This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 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.

Details

Language :
English
ISBNs :
9783031210136 and 9783031210143
Volume :
13583
Database :
eBook Index
Journal :
Machine Learning in Medical Imaging : 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
Publication Type :
eBook
Accession number :
3505107