Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach

被引：0
|
作者：
Junyoung Park
Seung Kwan Kang
Donghwi Hwang
Hongyoon Choi
Seunggyun Ha
Jong Mo Seo
Jae Seon Eo
Jae Sung Lee
机构：
[1] Seoul National University College of Engineering,Department of Electrical and Computer Engineering
[2] Seoul National University College of Medicine,Department of Nuclear Medicine
[3] Seoul National University College of Medicine,Department of Biomedical Sciences
[4] Seoul National University,Artificial Intelligence Institute
[5] Brightonix Imaging Inc.,Division of Nuclear Medicine, Department of Radiology, Seoul St Mary’s Hospital
[6] The Catholic University of Korea,Department of Nuclear Medicine
[7] Korea University Guro Hospital,Institute of Radiation Medicine, Medical Research Center
[8] Seoul National University College of Medicine,undefined
来源：
Nuclear Medicine and Molecular Imaging | 2023年 / 57卷
关键词：
Lung cancer; Deep learning; Segmentation; PET/CT;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：86 / 93
页数：7
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