Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

Objectives: The aim of this study was to develop a deep convolutional neural network (DCNN) for the prediction of the METAVIR score using B-mode ultrasonography images.Methods: Datasets from two tertiary academic referral centers were used. A total of 13,608 ultrasonography images from 3446 patients...

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Publicado en:	European Radiology Vol. 30; no. 2; pp. 1264 - 1274
Autores principales:	Lee, Jeong Hyun, Joo, Ijin, Kang, Tae Wook, Paik, Yong Han, Sinn, Dong Hyun, Ha, Sang Yun, Kim, Kyunga, Choi, Choonghwan, Lee, Gunwoo, Yi, Jonghyon, Bang, Won-Chul
Formato:	diagnostic images pictorial research tables/charts Journal Article
Publicado:	Springer Nature Feb2020
Acceso en línea:	Ver este registro en EBSCOhost