Versatile anomaly detection method for medical images with semi-supervised flow-based generative models

被引：0
|
作者：
Hisaichi Shibata
Shouhei Hanaoka
Yukihiro Nomura
Takahiro Nakao
Issei Sato
Daisuke Sato
Naoto Hayashi
Osamu Abe
机构：
[1] The University of Tokyo Hospital,Department of Computational Diagnostic Radiology and Preventive Medicine
[2] The University of Tokyo Hospital,Department of Radiology
[3] The University of Tokyo,Department of Computer Science, Graduate School of Information Science and Technology
[4] RIKEN,Center for Advanced Intelligence Project
[5] The University of Tokyo,Division of Radiology and Biomedical Engineering, Graduate School of Medicine
来源：
International Journal of Computer Assisted Radiology and Surgery | 2021年 / 16卷
关键词：
Anomaly detection; Brain computed tomography; Chest X-ray; Deep learning; Semi-supervised;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2261 / 2267
页数：6
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