ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis
Researchers release ERCPMP-Gx, a 160-image endoscopic dataset linking colorectal polyposis imagery with histopathology and germline findings for AI development.
The ERCPMP-GX dataset provides 160 endoscopic images and video clips captured mainly with the Olympus EVIS X1 system in white-light, NBI, and magnifying NBI modes. Roughly 80% of cases are confirmed hereditary polyposis syndromes such as FAP, PJS, JPS, and ganglioneuroma syndrome, with the remainder being non-hereditary mimics for differential classification. Records are linked to standardized endoscopic annotations, histopathology, and germline findings, and the dataset is publicly available on Mendeley.
- 160 endoscopic images plus video clips supporting AI recognition of colorectal polyposis syndromes
- About 80% of cases are genetically or clinically confirmed hereditary syndromes (FAP, PJS, JPS, GNS)
- Patient-level links between endoscopy, histopathology, and germline findings, unlike polyp-centric datasets
- Publicly released on Mendeley for AI model training and evaluation
Full article229 words · extracted from arxiv.org · click to collapse
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 around the individual sporadic polyp, and none links the polyposis phenotype to histopathology and germline findings at the patient level. Here, we present ERCPMP-Gx, an endoscopic, histopathological, and genomic dataset developed to support the application of artificial intelligence (AI) in the recognition, characterization, and classification of colorectal polyposis. Most procedures were performed using the Olympus EVIS X1 system with white-light endoscopy (WLE), narrow-band imaging (NBI), magnifying NBI (M-NBI), and NBI with near focus modes, yielding 160 images and accompanying video clips. Approximately eighty percent of cases represent clinically and/or genetically confirmed hereditary polyposis syndromes (PG), including familial adenomatous polyposis (FAP), Peutz-Jeghers syndrome (PJS), juvenile polyposis syndrome (JPS), and ganglioneuroma syndrome (GNS), while the remaining twenty percent comprise non-hereditary polyps and polyp-mimicking lesions with overlapping morphological features (Non-PG), included to support differential classification. Each released record is linked, where available, to standardized endoscopic annotations, representative histopathology, and clinically reported germline findings, forming an AI-ready, patient-level annotation framework. The dataset is publicly accessible at Mendeley (https://doi.org/10.17632/nzyfc544bx.2). For the latest updates and further information, readers are referred to the DataBioX website: https://databiox.com.
Text extracted automatically; images, tables and formatting may be missing. Original: https://arxiv.org/abs/2609.20815