Deep learning-based quantitative histopathology of endoscopic biopsies in Crohn's disease: a retrospective cross-sectional validation study.

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Title: Deep learning-based quantitative histopathology of endoscopic biopsies in Crohn's disease: a retrospective cross-sectional validation study.
Authors: Jiang X; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China., Li P; Department of Anesthesiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China., Chen Z; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China., Yao H; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China., Jia H; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China., Wang T; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China., Tang X; Department of Pathology, Chongqing Academy of Medical Sciences, Chongqing General Hospital, Chongqing University, Chongqing, China.
Source: Frontiers in immunology [Front Immunol] 2026 Jun 05; Vol. 17, pp. 1841261. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026).
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-3224
DOI:10.3389/fimmu.2026.1841261