ENGLISH

Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

By Pingkun Yan , Mingxia Liu , Chunfeng Lian , Xiaohuan Cao

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030598600, 9783030598617
DOI
10.1007/978-3-030-59861-7
Language
english
Format
PDF
Filesize
135 MB (141222583 bytes)
Series
Lecture Notes in Computer Science 12436
Edition
1st ed.
Pages
XV, 686\701
Time added
2021-01-06 05:41:07
Computer Science; Image Processing and Computer Vi

Description

This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 papers presented in this volume were carefully reviewed and selected from 101 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.

Similar books