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

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.

Détails du produit

• Collaboration: Ujjwal Baid (Editeur), Spyridon Bakas (Editeur), Alessandro Crimi (Editeur), Reuben Dorent (Editeur), Sylwia Malec (Editeur), Sylwia Malec et al (Editeur), Monika Pytlarz (Editeur), Ruisheng Su (Editeur), Navodini Wijethilake (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 04.12.2024
• EAN: 9783031761621
• ISBN: 978-3-0-3176162-1
• Pages: 397
• Dimensions: 155 mm x 22 mm x 235 mm
• Poids: 622 g
• Illustrations: XII, 397 p. 128 illus., 109 illus. in color.
• Thème: Lecture Notes in Computer Science
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Applications, programmes; Künstliche Intelligenz, machine learning, Lehrmittel, Lerntechnologien, E-Learning, Artificial Intelligence, Deep Learning, angewandte informatik, Brain, Computeranwendungen in Industrie und Technologie, CAD, Computer Vision, glioblastoma, glioma, Health Informatics, Computer and Information Systems Applications, Computers and Education, Computer Application in Social and Behavioral Sciences, Segmentation