CTumorGAN: a unified framework for automatic computed tomography tumor segmentation

被引：0
|
作者：
Shuchao Pang
Anan Du
Mehmet A. Orgun
Zhenmei Yu
Yunyun Wang
Yan Wang
Guanfeng Liu
机构：
[1] Macquarie University,Department of Computing
[2] University of Technology Sydney,School of Electrical and Data Engineering
[3] Macau University of Science and Technology,Faculty of Information Technology
[4] Shandong Women’s University,School of Data and Computer Science
[5] China-Japan Union Hospital of Jilin University,Department of Anesthesiology
来源：
European Journal of Nuclear Medicine and Molecular Imaging | 2020年 / 47卷
关键词：
Tumor segmentation; Computed tomography (CT); Adversarial learning; Conditional generative adversarial networks (cGAN); Loss function;
D O I：
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中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2248 / 2268
页数：20
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