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

Details

Ressource 1Download: Anatomically_informed_3D_CNN-DiNoto_etal-MLCN2020-authorVersion.pdf (461.63 [Ko])
State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_C85E63E2380A
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
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
Pages
56-66
Language
english
Create date
05/10/2021 12:23
Last modification date
20/07/2022 6:13
Usage data