A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

被引：0
作者：
Vitoantonio Bevilacqua
Antonio Brunetti
Giacomo Donato Cascarano
Andrea Guerriero
Francesco Pesce
Marco Moschetta
Loreto Gesualdo
机构：
[1] Department of Electrical and Information Engineering (DEI),
[2] Polytechnic University of Bari,undefined
[3] Italy,undefined
[4] D.E.T.O. University of Bari Medical School,undefined
来源：
BMC Medical Informatics and Decision Making | / 19卷
关键词：
Deep learning; Convolutional neural network; Semantic segmentation; R-CNN; ADPKD; Magnetic resonance;
D O I：
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