An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels

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Version: Author's accepted manuscript
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Serval ID
serval:BIB_C85E63E2380A
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
UNIL/CHUV
Title
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels
Title of the book
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Author(s)
Di Noto Tommaso, Marie Guillaume, Tourbier Sébastien, Alemán-Gómez Yasser, Saliou Guillaume, Bach Cuadra Meritxell, Hagmann Patric, Richiardi Jonas
Publisher
Springer International Publishing
ISSN
0302-9743
1611-3349
Publication state
Published
Issued date
2020
Peer-reviewed
Oui
Pages
56-66
Language
english
URN
urn:nbn:ch:serval-BIB_C85E63E2380A3
OAI-PMH
oai:serval.unil.ch:BIB_C85E63E2380A
DOI
10.1007/978-3-030-66843-3_6
Create date
05/10/2021 12:23
Last modification date
31/10/2023 7:10
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