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A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases

Khawla Brahim Abdul Qayyum Alain Lalande 1, 2 Arnaud Boucher Anis Sakly Fabrice Meriaudeau
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-03119206
Contributor : Alain Lalande <>
Submitted on : Saturday, January 23, 2021 - 8:34:44 AM
Last modification on : Sunday, January 24, 2021 - 3:15:12 AM

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Khawla Brahim, Abdul Qayyum, Alain Lalande, Arnaud Boucher, Anis Sakly, et al.. A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286640⟩. ⟨hal-03119206⟩

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