URI-CAD: Computer-Aided Diagnosis for Ultrasound Renal Imaging - IRYCIS (Hospital Ramón y Cajal)

The 2D ultrasound imaging database contains the kidney location and complete diagnosis of 1985 images (with 450 healthy and 1535 pathological kidneys), annotated by two experienced nephrologists from Hospital Universitario Ramón y Cajal. The annotations for each clinical cases include: a polygonal segmentation mask of the kidney, indicators of presence of global pathologies, and also indicators and bounding boxes of the local lesions (when present).
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The images are B-mode renal ultrasound images retrospectively collected from patients aged 18 and above, with a balanced distribution across sex. Left and right kidneys are also balanced in the collection, and both transversal (93%) and longitudinal (7%) images are present. Images were anonymized to ensure that they do not contain any personal information that could lead to the identification of the patients, and were collected during the years 2009 and 2018 at the rate of one image per clinical case.

本二维超声成像数据库包含1985张标注有肾脏位置与完整诊断结果的图像，其中健康肾脏450个、病理性肾脏1535个，由拉蒙·伊·卡哈尔大学医院（Hospital Universitario Ramón y Cajal）的两名资深肾脏科医师完成标注。每份临床病例的标注信息包括：肾脏的多边形分割掩码、全局病变存在标识，以及局部病灶（若存在）的标识与边界框（bounding box）。
该数据集收录的均为B型肾脏超声图像，均回溯性采集自18岁及以上的患者，性别分布均衡；左右肾脏样本量亦保持均衡，同时包含横断面（transversal）图像（占比93%）与纵断面（longitudinal）图像（占比7%）。所有图像均经过匿名化处理，确保不包含任何可识别患者身份的个人信息；图像采集于2009年至2018年间，每份临床病例对应一张图像。

搜集汇总

背景与挑战

背景概述

URI-CAD数据集是一个用于超声肾脏成像计算机辅助诊断的标注图像数据库，包含1985张2D超声图像（450张健康，1535张病理），由专业医生标注肾脏分割掩模、病理指标和病变边界框。数据来自2009-2018年间的患者，具有性别、肾脏位置和图像方向的平衡分布，且已匿名化处理，适用于医学影像分析和AI模型训练。