AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | Patch-based processing for medical and natural images [PICTURA] | |
| dc.contributor.author | COUPÉ, Pierrick | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | MANSENCAL, Boris | |
| hal.structure.identifier | Laboratoire d'Informatique Paris Descartes [LIPADE - EA 2517] | |
| dc.contributor.author | CLÉMENT, Michaël | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | GIRAUD, Rémi | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | TA, Vinh-Thong | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | LEPETIT, Vincent | |
| hal.structure.identifier | Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia [UPV] | |
| dc.contributor.author | MANJÓN, José | |
| dc.date.accessioned | 2024-04-04T02:59:18Z | |
| dc.date.available | 2024-04-04T02:59:18Z | |
| dc.date.issued | 2019-10-10 | |
| dc.date.conference | 2019-10-10 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192730 | |
| dc.description.abstractEn | Whole brain segmentation 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 this problem, previous DL methods proposed to use a global convolution neural network (CNN) or few independent CNNs. In this paper, we present a novel ensemble method based on a large number of CNNs processing different overlapping brain areas. Inspired by parliamentary decision-making systems, we propose a framework called Assem-blyNet, made of two "assemblies" of U-Nets. Such a parliamentary system is capable of dealing with complex decisions and reaching a consensus quickly. AssemblyNet introduces sharing of knowledge among neighboring U-Nets, an "amendment" procedure made by the second assembly at higher-resolution to refine the decision taken by the first one, and a final decision obtained by majority voting. When using the same 45 training images, AssemblyNet outperforms global U-Net by 28% in terms of the Dice metric, patch-based joint label fusion by 15% and SLANT-27 by 10%. Finally, AssemblyNet demonstrates high capacity to deal with limited training data to achieve whole brain segmentation in practical training and testing times. | |
| dc.description.sponsorship | Apprentissage profond pour la volumétrie cérébrale : vers le BigData en neuroscience - ANR-18-CE45-0013 | |
| dc.language.iso | en | |
| dc.subject.en | Whole brain segmentation | |
| dc.subject.en | CNN | |
| dc.subject.en | Ensemble learning | |
| dc.subject.en | transfer learning | |
| dc.subject.en | multiscale framework | |
| dc.title.en | AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation | |
| dc.type | Communication dans un congrès | |
| dc.identifier.doi | 10.1007/978-3-030-32248-9_52 | |
| dc.subject.hal | Informatique [cs]/Imagerie médicale | |
| dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | |
| bordeaux.page | 466-474 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) | |
| bordeaux.country | CN | |
| bordeaux.conference.city | Shenzhen | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02358626 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02358626v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019-10-10&rft.spage=466-474&rft.epage=466-474&rft.au=COUP%C3%89,%20Pierrick&MANSENCAL,%20Boris&CL%C3%89MENT,%20Micha%C3%ABl&GIRAUD,%20R%C3%A9mi&DENIS%20DE%20SENNEVILLE,%20Baudouin&rft.genre=unknown |
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