Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI

被引：0
|
作者：
Tomomi Takenaga
Shouhei Hanaoka
Yukihiro Nomura
Mitsutaka Nemoto
Masaki Murata
Takahiro Nakao
Soichiro Miki
Takeharu Yoshikawa
Naoto Hayashi
Osamu Abe
机构：
[1] the University of Tokyo Hospital,Department of Computational Diagnostic Radiology and Preventive Medicine
[2] Ibaraki Prefectural University of Health Sciences,Department of Radiological Sciences
[3] the University of Tokyo Hospital,Department of Radiology
[4] Kindai University,Faculty of Biology
[5] the University of Tokyo,Oriented Science and Technology
来源：
International Journal of Computer Assisted Radiology and Surgery | 2019年 / 14卷
关键词：
Segmentation; Gd-EOB-DTPA; CAD; Liver; Convolutional neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1259 / 1266
页数：7
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