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ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis

Paper recorded by Signals 4 on 2026-09-17 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.AI · 人工智能 · first seen 2026-09-18

Abstract

Hereditary polyposis syndromes can be precursor lesions to colorectal cancer and are associated with a broad spectrum of extracolonic tumors. Early identification and accurate classification of these syndromes are essential for timely diagnosis, individualized patient management, and targeted surveillance strategies for affected families. However, public endoscopic datasets are largely organized a

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#5 most recent of 300 cs.AI papers we have recorded · ↑ newer: Paint-Anything: Unified Any-Color Control for Image Generation and Edi · ↓ older: Quantifying Overclaiming Propensity in Frontier LLM Agents
Cite this page: ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis: the #5 most recent of 300 cs.AI papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/ercpmp-gx-endoscopic-image-and-video-dataset-for-morphological-histopathological.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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