Accès à distance ? S'identifier sur le proxy UCLouvain
Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT
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Document type | Article de périodique (Journal article) – Article de recherche |
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Access type | Accès libre |
Publication date | 2021 |
Language | Anglais |
Journal information | "Computers in Biology and Medicine" - Vol. 131, no. 1, p. 104269 [1-12] (2021) |
Peer reviewed | yes |
Publisher | Elsevier ((United States) New York, NY) |
issn | 0010-4825 |
e-issn | 1879-0534 |
Publication status | Publié |
Affiliations |
UCL
- SST/ICTM/ELEN - Pôle en ingénierie électrique UCL - SSS/IREC/MIRO - Pôle d'imagerie moléculaire, radiothérapie et oncologie |
Links |
Bibliographic reference | Brion, Eliott ; Léger, Jean ; Barragan Montero, Ana Maria ; Meert, Nicolas ; Lee, John Aldo ; et. al. Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. In: Computers in Biology and Medicine, Vol. 131, no. 1, p. 104269 [1-12] (2021) |
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Permanent URL | http://hdl.handle.net/2078.1/245104 |