Machine Learning in Medical Imaging
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Published on 25. September 2021
XVIII, 704 pages
978-3-030-87589-3 (ISBN)
Description
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.More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XVIII, 704 p. 248 illus., 232 illus. in color.
File size
136,36 MB
ISBN-13
978-3-030-87589-3 (9783030875893)
DOI
10.1007/978-3-030-87589-3
Schweitzer Classification
Other editions
Additional editions
Chunfeng Lian | Xiaohuan Cao | Islem Rekik
Machine Learning in Medical Imaging
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Book
09/2021
Springer
€106.99
Shipment within 7-9 days
Content
Contrastive Representations for Continual Learning of Fine-grained Histology Images.-
