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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/55403

Title: Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation
Author(s): Vila, María del Mar
Remeseiro López, Beatriz
Grau, M.
Elosua, R.
Betriu, À.
Fernández Giraldez, Elvira
Igual, L.
Issue date: 2020
Publisher version: http://dx.doi.org/10.1016/j.artmed.2019.101784
Citation: Artificial Intelligence in Medicine, 103, p. 101784- (2020); doi:10.1016/j.artmed.2019.101784
Format extent: p. 101784-
Embargo date: 2020-12-31
URI: http://hdl.handle.net/10651/55403
ISSN: 0933-3657
Sponsored: This work was partially supported by the Spanish Ministry of Economy and Competitiveness through the Instituto de Salud Carlos III FEDER (CIBERCV and FIS CPII17/00012), the Spanish Ministry of the Economy and Competitiveness (TIN2015-65069-C2-2-R and TIN2015-66951-C2), the Principado de Asturias Regional Government (IDI-2018-000176), all grants through the ERDF; and the Catalan Agència de Gestió d’Ajuts Universitaris de Recerca (2017-SGR-222 and 2017-SGR1742).
Project id.: ISCIII/FEDER/FIS CPII17/00012
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