Survival prediction and risk stratification in R0-resected ovarian cancer: a multi-modal deep learning approach.
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| Title: | Survival prediction and risk stratification in R0-resected ovarian cancer: a multi-modal deep learning approach. |
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| Authors: | Zhou Y; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Duan Y; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Teng M; Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China., Li S; Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Zhang H; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., He F; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Gao C; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Gaoxin District, Hefei, Anhui, China., Xiong Y; Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China., Wang J; Department of Ultrasound, Second People's Hospital of Wuhu, Wuhu, Anhui, China., Fan X; Department of Pathology, The First Affiliated Hospital of Anhui Medical University, Gaoxin District, Hefei, Anhui, China., Zhang C; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. zcxay@163.com. |
| Source: | NPJ precision oncology [NPJ Precis Oncol] 2026 Jan 10; Vol. 10 (1), pp. 60. Date of Electronic Publication: 2026 Jan 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2397-768X |
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| DOI: | 10.1038/s41698-025-01263-3 |
