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Brain tumor segmentation, and cross-modality domain adaptation for medical image segmentationMICCAI challenges, BraTS 2023 and CrossMoDA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Brain tumor segmentation, and cross-modality domain adaptation for medical image segmentationedited by Ujjwal Baid ... [et al.].
Reminder of title:	MICCAI challenges, BraTS 2023 and CrossMoDA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024 : proceedings /
remainder title:	BraTS 2023
other author:	Baid, Ujjwal.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xii, 397 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BrainAtlases.Imaging
Online resource:	https://doi.org/10.1007/978-3-031-76163-8
ISBN:	9783031761638$q(electronic bk.)

Brain tumor segmentation, and cross-modality domain adaptation for medical image segmentationMICCAI 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 segmentationMICCAI challenges, BraTS 2023 and CrossMoDA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024 : proceedings /[electronic resource] :BraTS 2023edited by Ujjwal Baid ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 397 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,146690302-9743 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783031761638$q(electronic bk.)

Standard No.: 10.1007/978-3-031-76163-8doiSubjects--Topical Terms:

488140
Brain
--Imaging--Atlases.

LC Class. No.: RC386.6.D52

Dewey Class. No.: 616.804754

Brain tumor segmentation, and cross-modality domain adaptation for medical image segmentationMICCAI challenges, BraTS 2023 and CrossMoDA 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12 and 8, 2024 : proceedings /
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