Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

Research article (Gut, 2023) · cited 30× · AI/ML
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Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study

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Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study is a scholarly article[1].

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  • Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study. Retrieved May 24, 2026, from https://4ort.xyz/entity/screening-of-normal-endoscopic-large-bowel-biopsies-with-interpretable-graph-learning-a-retrospective-study
MLA “Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/screening-of-normal-endoscopic-large-bowel-biopsies-with-interpretable-graph-learning-a-retrospective-study.
BibTeX @misc{4ortxyz_screening-of-normal-endoscopic-large-bowel-biopsies-with-interpretable-graph-learning-a-retrospective-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study}}, year = {2026}, url = {https://4ort.xyz/entity/screening-of-normal-endoscopic-large-bowel-biopsies-with-interpretable-graph-learning-a-retrospective-study}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study — https://4ort.xyz/entity/screening-of-normal-endoscopic-large-bowel-biopsies-with-interpretable-graph-learning-a-retrospective-study (retrieved 2026-05-24)

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