Machine Learning in Medical Imaging

Zhiming Cui

ISBN 10: 3032095123 / ISBN 13: 9783032095121

Published by Springer, Berlin, European Commission, Austrian Science Fund, Springer, 2026

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, onSeptember 23, 2025.The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics. 683 pp. Englisch.

Seller Inventory # 9783032095121

Bibliographic Details

• Title: Machine Learning in Medical Imaging
• Publisher: Springer, Berlin, European Commission, Austrian Science Fund, Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 3032095123
• ISBN 13: 9783032095121
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 36D millimeters 235 millimeters width by 155 millimeters height by 36 millimeters depth
• Weight: 1043 grams

About this title

Synopsis

This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on September 23, 2025.

The 65 full papers included in this book were carefully reviewed and selected from 101 submissions. They focus on advanced scientific research covering topics such as deep learning, foundation models, generative learning, and statistical methods with their applications to computer-aided diagnosis, multi-modality fusion, image reconstruction, digital pathology, and large-scale data analytics.