Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
Open Access
- 1 November 2018
- journal article
- research article
- Published by Elsevier BV in Radiotherapy and Oncology
- Vol. 132, 171-177
- https://doi.org/10.1016/j.radonc.2018.10.019
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Plan of China (2017YFA0205200, 2016YFC0103001, YS2017YFGH000397, 2017YFC1308700, 2017YFC1309100)
- National Natural Science Foundation of China (81227901, 81527805, 81772012, 81501549, 81720108021, 81641168)
- Beijing Natural Science Foundation (7182109)
- Beijing Municipal Science & Technology Commission (Z171100000117023, Z161100002616022)
- Chinese Academy of Sciences (GJJSTD20170004, QYZDJ-SSW-JSC005)
- Henan Province Scientific and Technological Cooperation Project (152106000014)
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