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AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

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AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

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Coupé, P.; Mansencal, B.; Clement, M.; Giraud, R.; Denis De Senneville, B.; Ta, V.; Lepetit, V.... (2020). AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation. NeuroImage. 219:1-12. https://doi.org/10.1016/j.neuroimage.2020.117026

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/176258

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Title: AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation
Author: Coupé, Pierrick Mansencal, Boris Clement, Michael Giraud, Rémi Denis de Senneville, Baudouin Ta, Vinh-Thong Lepetit, Vincent Manjón Herrera, José Vicente
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Whole brain segmentation of fine-grained structures using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address ...[+]
Subjects: Deep learning , Brain , Segmentation
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
NeuroImage. (issn: 1053-8119 )
DOI: 10.1016/j.neuroimage.2020.117026
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.neuroimage.2020.117026
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-87743-R/ES/DESARROLLO DE UNA PLATAFORMA ONLINE PARA EL ANALISIS ANATOMICO DEL CEREBRO TOLERANTE A LA PRESENCIA DE ALTERACIONES PATOLOGICAS/
...[+]
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-87743-R/ES/DESARROLLO DE UNA PLATAFORMA ONLINE PARA EL ANALISIS ANATOMICO DEL CEREBRO TOLERANTE A LA PRESENCIA DE ALTERACIONES PATOLOGICAS/
info:eu-repo/grantAgreement/ANR//ANR-10-LABX-57/
info:eu-repo/grantAgreement/ANR//ANR-10-IDEX-03-02/
info:eu-repo/grantAgreement/NIH//N01- HD02-3343/
info:eu-repo/grantAgreement/NIH//N01-MH9-0002/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2314/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2315/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2316/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2317/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2319/
info:eu-repo/grantAgreement/NIH//N01-NS-9-2320/
info:eu-repo/grantAgreement/NIH//U01 AG024904/
info:eu-repo/grantAgreement/NIH//P30 AG010129/
info:eu-repo/grantAgreement/NIH//K01 AG030514/
info:eu-repo/grantAgreement/NIH//P50 AG05681//OASIS Project/
info:eu-repo/grantAgreement/NIH//P01 AG03991//OASIS Project/
info:eu-repo/grantAgreement/NIH//R01 AG021910//OASIS Project/
info:eu-repo/grantAgreement/NIH//P50 MH071616//OASIS Project/
info:eu-repo/grantAgreement/NIH//U24 RR021382/
info:eu-repo/grantAgreement/NIH//R01 MH56584/
info:eu-repo/grantAgreement/NHMRC//1011689/
info:eu-repo/grantAgreement/EPSRC//GR%2FS21533%2F02/
info:eu-repo/grantAgreement/NIMH//K23MH087770/
info:eu-repo/grantAgreement/NIMH//R03MH096321/
info:eu-repo/grantAgreement/NICHD//HHSN275200900018C/
info:eu-repo/grantAgreement/Human Brain Project//PO1MHO5217611/
info:eu-repo/grantAgreement/CIHR//MOP34996/
info:eu-repo/grantAgreement/ANR//ANR-18-CE45-0013/
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Thanks:
This work benefited from the support of the project DeepvolBrain of the French National Research Agency (ANR-18-CE45-0013). This study was achieved within the context of the Laboratory of Excellence TRAIL ANR-10-LABX-57 ...[+]
Type: Artículo

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