An unenhanced abdominal CT dataset for kidney and kidney stone segmentation

260 unenhanced abdominal CT scans from 2018 to 2020 were collected from the First Affiliated Hospital of Guangzhou Medical University. After data desensitization and data cleaning, the clean NIfTI image of abdominal CT scans was annotated based on clinical requirements and image segmentation needs. Two labels (“kidney” and “kidney stone”) were considered for masking and labeling. The 3D Slicer tool was used to mask the CT scans. The data annotations process comprised three stages. Data annotation was performed under the guidance of a professional urologist. Each CT scan contains an original raw image and a masked image for kidney and kidney stone. Please note that the whole dataset is split into 5 parts for easy download.本数据集采集了2018年至2020年间来自广州医科大学附属第一医院的260例未增强腹部CT扫描影像。经数据脱敏与数据清洗处理后，依据临床需求及图像分割任务要求，对清洗后的腹部CT NIfTI（NIfTI）格式图像进行标注。本次标注设置两类标签：肾脏（kidney）与肾结石（kidney stone），用于影像掩膜与标注。采用3D Slicer工具完成CT扫描影像的掩膜操作。数据标注流程共分为三个阶段，且全程在专业泌尿外科医师的指导下开展。每一例CT扫描影像均包含原始未处理图像，以及针对肾脏与肾结石的掩膜图像。请注意：为便于下载，完整数据集被划分为5个部分。

搜集汇总

背景与挑战

背景概述

该数据集包含260个未增强的腹部CT扫描，专门用于肾脏和肾结石的医学图像分割任务。数据收集自广州医科大学第一附属医院，经过脱敏和清理处理，并标注了'肾脏'和'肾结石'两个关键标签，标注过程在专业泌尿科医生指导下完成。数据集以NIfTI格式提供，分为5部分以便下载，但文件访问受限，适用于学术研究。