Prognostic Analysis Combining Histopathological Features and Clinical Information to Predict Colorectal Cancer Survival from Whole-Slide Images.
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| Title: | Prognostic Analysis Combining Histopathological Features and Clinical Information to Predict Colorectal Cancer Survival from Whole-Slide Images. |
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| Authors: | Cai C; School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China. chengfeicai@nuist.edu.cn.; College of Information Engineering, Taizhou University, Taizhou, 225300, China. chengfeicai@nuist.edu.cn.; Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, China. chengfeicai@nuist.edu.cn., Zhou Y; Department of Pathology, Zhujiang Hospital of Southern Medical University, Guangzhou, 510280, China., Jiao Y; Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, China., Li L; Department of Pathology, Nanfang Hospital of Southern Medical University, Guangzhou, 510515, China., Xu J; Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, China. |
| Source: | Digestive diseases and sciences [Dig Dis Sci] 2024 Aug; Vol. 69 (8), pp. 2985-2995. Date of Electronic Publication: 2024 Jun 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 7902782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2568 (Electronic) Linking ISSN: 01632116 NLM ISO Abbreviation: Dig Dis Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-2568 |
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| DOI: | 10.1007/s10620-024-08501-x |
