Author:
Kervadec Hoel,Bouchtiba Jihene,Desrosiers Christian,Granger Eric,Dolz Jose,Ben Ayed Ismail
Funder
Natural Sciences and Engineering Research Council of Canada
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference26 articles.
1. Abraham, N., Khan, N. M., 2018. A novel focal tversky loss function with improved attention U-Net for lesion segmentation. arXiv preprint arXiv:1810.07842.
2. Graph cuts and efficient n-d image segmentation;Boykov;Int. J. Comput. Vis.,2006
3. An integral solution to surface evolution PDEs via geo-cuts;Boykov,2006
4. Deep convolutional encoder networks for multiple sclerosis lesion segmentation;Brosch,2015
5. Geodesic active contours;Caselles;Int. J. Comput. Vis.,1997
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