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：

暂无

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摘要：

引用

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