Knowledge Commons of Institute of Automation,CAS
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer | |
Wang, Shuo1,6; Liu, Zhenyu1,6; Rong, Yu5; Zhou, Bin4; Bai, Yan3; Wei, Wei3; Wei, Wei1; Wang, Meiyun3; Guo, Yingkun2; Tian, Jie1,6,7 | |
发表期刊 | Radiotherapy and Oncology |
2018-11 | |
期号 | 132页码:171-177 |
摘要 | Background and purpose: Recurrence is the main risk for high-grade serous ovarian cancer (HGSOC) and |
关键词 | Deep Learning High-grade Serous Ovarian Cancer Recurrence Prognosis Computed Tomography Artificial Intelligence Semi-supervised Learning Auto Encoder Unsupervised Learning |
DOI | 10.1016/j.radonc.2018.10.019 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000460111700025 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23572 |
专题 | 学术期刊 中国科学院分子影像重点实验室 |
通讯作者 | Wang, Meiyun; Guo, Yingkun; Tian, Jie |
作者单位 | 1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China. 2.Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Sichuan, China 3.Department of Radiology, Henan Provincial People’s Hospital, Henan, China 4.Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Sichuan, China 5.Department of Radiology, Key Laboratory of Intelligent Medical Image Analysis and Precision Diagnosis in Guizhou Province, Guizhou Provincial People's Hospital, Guizhou, China 6.University of Chinese Academy of Sciences, Beijing, China 7.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, china |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Shuo,Liu, Zhenyu,Rong, Yu,et al. Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer[J]. Radiotherapy and Oncology,2018(132):171-177. |
APA | Wang, Shuo.,Liu, Zhenyu.,Rong, Yu.,Zhou, Bin.,Bai, Yan.,...&Tian, Jie.(2018).Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer.Radiotherapy and Oncology(132),171-177. |
MLA | Wang, Shuo,et al."Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer".Radiotherapy and Oncology .132(2018):171-177. |
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