A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features.

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Bibliographic Details
Title: A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features.
Authors: Tan Y; Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China., Feng LJ; Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China., Huang YH; Department of Pathology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, PR China., Xue JW; Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China., Long LL; Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China; Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Gaungxi Medical University, Ministry of Education, Nanning, Guangxi, PR China; Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, Guangxi, PR China. Electronic address: cjr.longliling@vip.163.com., Feng ZB; Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China. Electronic address: Fengzhenbo_GXMU@163.com.
Source: Translational oncology [Transl Oncol] 2024 Feb; Vol. 40, pp. 101864. Date of Electronic Publication: 2023 Dec 22.
Publication Type: Journal Article
Journal Info: Publisher: Neoplasia Press Country of Publication: United States NLM ID: 101472619 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1936-5233 (Print) Linking ISSN: 19365233 NLM ISO Abbreviation: Transl Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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