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	Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
	Wang, Shuo; Liu, Zhenyu; Rong, Yu; Zhou, Bin; Bai, Yan; Wei, Wei; Wang, Meiyun; Guo, Yingkun; Tian, Jie
刊名	RADIOTHERAPY AND ONCOLOGY
	2019
卷号	132页码:171-177
关键词	Deep learning High-grade serous ovarian cancer Recurrence Prognosis Computed tomography Artificial intelligence Semi-supervised learning Auto encoder Unsupervised learning
ISSN号	0167-8140
DOI	10.1016/j.radonc.2018.10.019
URL标识	查看原文
收录类别	SCIE ; PUBMED
WOS记录号	WOS:000460111700025
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5923034
专题	北京航空航天大学
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,2019,132:171-177.
APA	Wang, Shuo.,Liu, Zhenyu.,Rong, Yu.,Zhou, Bin.,Bai, Yan.,...&Tian, Jie.(2019).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(2019):171-177.

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