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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I /

This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modal...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Crimi, Alessandro (Editor), Bakas, Spyridon (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Computer Science, 12962
Subjects:
Computer vision.
Artificial intelligence.
Computer engineering.
Computer networks .
Application software.
Computer Vision.
Artificial Intelligence.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually. This is an open access book.
Physical Description:1 online resource (XXI, 489 pages 171 illustrations, 134 illustrations in color)
ISBN:9783031089992
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-08999-2
Access:Open Access