Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

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作者：
Conze, Pierre-Henri [1 ,2 ]
Kavur, Ali Emre [3 ]
Cornec-Le Gall, Emilie [4 ,5 ]
Gezer, Naciye Sinem [3 ,6 ]
Le Meur, Yannick [4 ,7 ]
Selver, M. Alper [3 ]
Rousseau, François [1 ,2 ]
机构：
[1] IMT Atlantique, Technopôle Brest-Iroise, Brest,29238, France
[2] LaTIM UMR 1101, Inserm, 22 avenue Camille Desmoulins, Brest,29238, France
[3] Dokuz Eylul University, Cumhuriyet Bulvarı, Izmir,35210, Turkey
[4] Department of Nephrology, University Hospital, 2 avenue Foch, Brest,29609, France
[5] UMR 1078, Inserm, 22 avenue Camille Desmoulins, Brest,29238, France
[6] Department of Radiology, Faculty of Medicine, Cumhuriyet Bulvarı, Izmir,35210, Turkey
[7] LBAI UMR 1227, Inserm, 5 avenue Foch, Brest,29609, France
来源：
Artificial Intelligence in Medicine | 2021年 / 117卷
关键词：
Computerized tomography - Decision making - Magnetic resonance imaging - Convolution - Convolutional neural networks - Decoding - Medical imaging - Image segmentation - Network coding - Deep learning - Generative adversarial networks - Computer aided diagnosis;
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