CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Domain adaptation
Segmentation
Vestibular schwannoma
Journal
Medical image analysis
ISSN: 1361-8423
Titre abrégé: Med Image Anal
Pays: Netherlands
ID NLM: 9713490
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
received:
20
12
2021
revised:
17
06
2022
accepted:
10
09
2022
pubmed:
26
10
2022
medline:
15
12
2022
entrez:
25
10
2022
Statut:
ppublish
Résumé
Domain Adaptation (DA) has recently been of strong interest in the medical imaging community. While a large variety of DA techniques have been proposed for image segmentation, most of these techniques have been validated either on private datasets or on small publicly available datasets. Moreover, these datasets mostly addressed single-class problems. To tackle these limitations, the Cross-Modality Domain Adaptation (crossMoDA) challenge was organised in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). CrossMoDA is the first large and multi-class benchmark for unsupervised cross-modality Domain Adaptation. The goal of the challenge is to segment two key brain structures involved in the follow-up and treatment planning of vestibular schwannoma (VS): the VS and the cochleas. Currently, the diagnosis and surveillance in patients with VS are commonly performed using contrast-enhanced T1 (ceT
Identifiants
pubmed: 36283200
pii: S1361-8415(22)00256-0
doi: 10.1016/j.media.2022.102628
pmc: PMC10186181
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
102628Subventions
Organisme : NIDCD NIH HHS
ID : R01 DC014462
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS094456
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS042645
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : U01 CA242871
Pays : United States
Organisme : Wellcome Trust
ID : WT106882
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC/PC/180520
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203145Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203148/Z/16/Z
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL141813
Pays : United States
Informations de copyright
Crown Copyright © 2022. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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