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Abdominal aortic aneurysm segmentation from CT images using modified 3D U-net with deep supervision

dc.contributor.authorHabijan, Maria
dc.contributor.authorGalic, Irena
dc.contributor.authorLeventic, Hrvoje
dc.contributor.authorRomic, Krešimir
dc.contributor.authorBabin, Danilo
dc.date.accessioned2021-10-28T22:15:41Z
dc.date.available2021-10-28T22:15:41Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35223
dc.sourceIIOimport
dc.titleAbdominal aortic aneurysm segmentation from CT images using modified 3D U-net with deep supervision
dc.typeProceedings paper
dc.contributor.imecauthorBabin, Danilo
dc.contributor.orcidimecBabin, Danilo::0000-0002-2881-6760
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage123
dc.source.endpage128
dc.source.conference2020 International Symposium ELMAR
dc.source.conferencedate14/09/2020
dc.source.conferencelocationZadar Croatia
dc.identifier.urlhttps://doi.org/10.1109/ELMAR49956.2020.9219015
imec.availabilityPublished - open access


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