GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology
Mojgan Forootan1, Mahziar Setayeshfar2, Ali Darvishi3, Mohammad Tashakoripour4, Hamidreza Bolhasani5
1: Shahid Beheshti University of Medical Sciences, Tehran, Iran, 2: Iran University of Medical Sciences, Tehran, Iran, 3: Shiraz University of Medical Sciences, Shiraz, Iran, 4: Tehran University of Medical Sciences, Tehran, Iran, 5: DataBioX Research, Tehran, Iran
Publication date: 2026/09/21
https://doi.org/10.59275/j.melba.2026-86cc
Abstract
Gastric intestinal metaplasia (GIM) is a histopathologically confirmed precursor to gastric adenocarcinoma. Early, accurate detection remains a clinical challenge, and AI-assisted endoscopy is a promising solution. We present GIM-ENDO, a publicly available multimodal dataset comprising 98 endoscopic still images and 39 video clips from 24 patients (22 GIM-positive, 2 normal controls), acquired with the Olympus EVIS X1 system under white-light endoscopy (WLE), narrow-band imaging (NBI), and magnifying NBI (M-NBI). All cases are histopathologically confirmed. Annotations cover six IEE endoscopic signs (LBC, MTB, WOS, TV pattern/Fusion, atrophy, MLE), GIM subtype (complete/incomplete), and OLGA/OLGIM staging where available. The dataset is publicly accessible at https://doi.org/10.5281/zenodo.20707267. For the latest updates, refer to https://databiox.com.
Keywords
Gastric Intestinal Metaplasia · Image-Enhanced Endoscopy · Narrow-Band Imaging · Artificial Intelligence · Deep Learning · Endoscopic Dataset · OLGA · OLGIM
Bibtex
@article{melba:2026:043:forootan,
title = "GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology",
author = "Forootan, Mojgan and Setayeshfar, Mahziar and Darvishi, Ali and Tashakoripour, Mohammad and Bolhasani, Hamidreza",
journal = "Machine Learning for Biomedical Imaging",
volume = "2026",
issue = "Special Issue on MICCAI Open Data 2026",
year = "2026",
pages = "821--824",
issn = "2766-905X",
doi = "https://doi.org/10.59275/j.melba.2026-86cc",
url = "https://melba-journal.org/2026:043"
}
RIS
TY - JOUR
AU - Forootan, Mojgan
AU - Setayeshfar, Mahziar
AU - Darvishi, Ali
AU - Tashakoripour, Mohammad
AU - Bolhasani, Hamidreza
PY - 2026
TI - GIM-ENDO: A Multimodal Endoscopic Image and Video Dataset for Gastric Intestinal Metaplasia Morphology and Pathology
T2 - Machine Learning for Biomedical Imaging
VL - 2026
IS - Special Issue on MICCAI Open Data 2026
SP - 821
EP - 824
SN - 2766-905X
DO - https://doi.org/10.59275/j.melba.2026-86cc
UR - https://melba-journal.org/2026:043
ER -