ERCPMPv2: An Endoscopic Image and Video Dataset for Recognition of Colorectal Polyps Morphology and Pathology

Published: 16 May 2023| Version 2 | DOI: 10.17632/7grhw5tv7n.2
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Hamidreza Bolhasani

Description

ERCPMPv2 is an Endoscopic Image and Video Dataset for Recognition of Colorectal Polyps Morphology and Pathology. This dataset contains demographic, morphological and pathological data, endoscopic images and videos of 192 patients with colorectal polyps. Morphological data is included based on the latest international gastroenterology classification references such as Paris, Pit and JNET classification. Pathological data includes the diagnosis of the polyps including Tubular, Villous, Tubulovillous, Hyperplastic, Serrated, Inflammatory and Adenocarcinoma with Dysplasia Grade & Differentiation. ERCPMPv2 is prepared and organized by a team of Gastroenterology, Hematology, Oncology and Artificial Intelligence Experts. ERCPMPv2 is the first version of this dataset and in the later versions, the morphological and pathological data, images and videos will be completed.

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Institutions

Alborz University of Medical Sciences, Mazandaran University of Medical Sciences, Shahid Beheshti University of Medical Sciences, Iran University of Medical Sciences, Tehran University of Medical Sciences, Islamic Azad University Science and Research Branch

Categories

Gastroenterology, Colonic Polyp, Colorectal Cancer, Endoscopy, Gastro-Intestinal Endoscopy, Colon, Rectum, Colonoscopy, Endoscopic Imaging, Endoscopic Polypectomy, Polyp

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