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Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging

Abdul Qayyum 1 Alain Lalande 1 Fabrice Meriaudeau 1
1 Equipe IFTIM [ImViA - EA7535]
CHU Dijon - Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand, UNICANCER/CRLCC-CGFL - Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon], ImViA - Imagerie et Vision Artificielle [Dijon]
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https://hal.archives-ouvertes.fr/hal-03125186
Contributor : Ivan Porcherot <>
Submitted on : Friday, January 29, 2021 - 11:37:05 AM
Last modification on : Saturday, January 30, 2021 - 3:17:00 AM

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Abdul Qayyum, Alain Lalande, Fabrice Meriaudeau. Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging. Computers in Biology and Medicine, Elsevier, 2020, 127, pp.104097. ⟨10.1016/j.compbiomed.2020.104097⟩. ⟨hal-03125186⟩

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