Brain Tumor Segmentation, and Cross-modality Domain Adaptation for Medical Image Segmentation: Miccai Challenges, Brats 2023 and Crossmoda 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 12 and 8, 2024, Proceedings

Baid, Ujjwal (Editor)/ Dorent, Reuben (Editor)/ Malec, Sylwia (Editor)/ Pytlarz, Monika (Editor)/ Su, Ruisheng (Editor)

ISBN 10: 3031761626 / ISBN 13: 9783031761621

Published by Springer-Nature New York Inc, 2025

About this Item

410 pages. 9.25x6.10x9.21 inches. In Stock.

Seller Inventory # x-3031761626

Bibliographic Details

• Title: Brain Tumor Segmentation, and Cross-modality Domain Adaptation for Medical Image Segmentation: Miccai Challenges, Brats 2023 and Crossmoda 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 12 and 8, 2024, Proceedings
• Publisher: Springer-Nature New York Inc
• Publication Date: 2025
• Language: English
• ISBN 10: 3031761626
• ISBN 13: 9783031761621
• Binding: Paperback
• Condition: Brand New
• Weight: 0.58 kilograms

About this title

Synopsis

This book constitutes the refereed proceedings of the Brain Tumor Segmentation Challenge, BraTS 2023, as well as the Cross-Modality Domain Adaptation Challenge, CrossMoDA 2023. These events were held in conjunction with the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2023, during October 8-12, 2023.

The 37 full papers presented in this volume were selected form 23 submissions. They describe the research of computational scientists and clinical researchers working on brain lesions, and specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.