盆腔CT影像数据

盆腔CT影像数据覆盖子宫、卵巢、膀胱等盆腔器官及淋巴结、骨骼结构评估。基于DICOM标准与标注信息，支持AI模型开发，可实现盆腔病灶自动检测与分析，推动智能医疗发展，助力妇科及泌尿系统疾病的早期筛查与精准诊断。

This pelvic CT imaging dataset covers the assessment of pelvic organs such as the uterus, ovaries and urinary bladder, as well as lymph nodes and skeletal structures. Based on the DICOM standard and annotated information, it supports the development of AI models, enabling automatic detection and analysis of pelvic lesions, promoting the advancement of intelligent healthcare, and facilitating early screening and precise diagnosis of gynecological and urinary system diseases.

搜集汇总

背景与挑战

背景概述

该数据集为盆腔CT影像数据，覆盖子宫、卵巢、膀胱等盆腔器官及淋巴结、骨骼结构，基于DICOM标准并包含标注信息，旨在支持AI模型开发以实现盆腔病灶的自动检测与分析。数据集规模为40TB，每年动态更新，增量存储3TB，覆盖全国范围，主要应用于科技创新和医疗健康领域，特别是妇科及泌尿系统疾病的早期筛查与精准诊断。