ERCPMP：用于结直肠息肉形态学与病理学的内窥镜图像与视频数据集
ERCPMP: An Endoscopic Image and Video Dataset for Colorectal Polyps Morphology and Pathology
- Gastroenterology and Liver Disease Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences（沙希德贝赫什提医科大学胃肠病学与肝病研究所胃肠病学与肝病研究中心）
- Alborz University of Medical Sciences（厄尔布尔士医科大学）
- Shahid Beheshti University of Medical Sciences（沙希德贝赫什提医科大学）
- Iran University of Medical Sciences（伊朗医科大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
ERCPMP是一个包含191名结直肠息肉患者内窥镜图像、视频及形态与病理数据的数据集，基于Paris、Pit和JNET等国际分类标准构建，旨在解决医学AI算法开发面临的数据挑战。
AI中文摘要：
近年来，人工智能（AI）及其主要子类型机器学习（ML）和深度学习（DL）及其应用在医学等各个领域迅速普及。如今，开发用于医学预测、检测、诊断、治疗和预后的准确算法面临的最重要挑战是数据。ERCPMP是一个用于识别结直肠息肉形态学和病理学的内窥镜图像与视频数据集。该数据集包含191名结直肠息肉患者的人口统计学、形态学和病理学数据，以及内窥镜图像和视频。形态学数据基于最新的国际胃肠病学分类参考标准，如Paris、Pit和JNET分类。病理学数据包括息肉的诊断，涵盖管状、绒毛状、管状绒毛状、增生性、锯齿状、炎症性以及伴有异型增生分级和分化程度的腺癌。该数据集的当前版本已在Elsevier Mendeley Dataverse上发布并提供下载，由于它仍在开发中，最新版本可通过以下网址获取：https://databiox.com。
英文摘要：
In the recent years, artificial intelligence (AI) and its leading subtypes, machine learning (ML) and deep learning (DL) and their applications are spreading very fast in various aspects such as medicine. Today the most important challenge of developing accurate algorithms for medical prediction, detection, diagnosis, treatment and prognosis is data. ERCPMP 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 191 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. The current version of this dataset is published and available on Elsevier Mendeley Dataverse and since it is under development, the latest version is accessible via: https://databiox.com.
