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 /
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 / [electronic resource] :
edited by Ujjwal Baid, Reuben Dorent, Sylwia Malec, Monika Pytlarz, Ruisheng Su, Navodini Wijethilake, Spyridon Bakas, Alessandro Crimi.
- 1st ed. 2024.
- XII, 397 p. 128 illus., 109 illus. in color. online resource.
- Lecture Notes in Computer Science, 14669 1611-3349 ; .
- Lecture Notes in Computer Science, 14669 .
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.
9783031761638
Computer vision.
Medical informatics.
Social sciences--Data processing.
Application software.
Education--Data processing.
Artificial intelligence.
Computer Vision.
Health Informatics.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Computers and Education.
Artificial Intelligence.
TA1634
006.37
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.
9783031761638
Computer vision.
Medical informatics.
Social sciences--Data processing.
Application software.
Education--Data processing.
Artificial intelligence.
Computer Vision.
Health Informatics.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Computers and Education.
Artificial Intelligence.
TA1634
006.37
