肝癌术前影像评估与术后复发监测随访高质量数据集

本数据集聚焦肝癌术前影像评估与术后复发监测随访核心方向，原始数据均从合作三甲医院合规采集，经专业团队完成数据脱敏与文件校对全流程处理，最终形成高质量、标准化的专业医疗数据集，数据总量级达1TB，可直接对接医疗算法研发、模型训练、临床研究等各类应用场景，为肝癌术前影像评估、术后复发监测随访相关人工智能技术开发、临床诊疗研究、医疗产品创新提供高价值、高可靠性的数据支撑。
数据集整体为多模态结构化医疗数据，单条数据围绕肝癌术前影像评估与术后复发监测随访全维度构建，核心包含影像类数据与临床诊疗文本标注类数据两大类别。影像类数据为dicom格式原始影片，保留临床采集原始影像信息，格式标准化、信息完整度高；临床诊疗文本标注类数据涵盖住院病程、住院/出院记录、放射及化验图文报告等核心医疗文件，字段信息完整覆盖肝癌术前影像评估、术后复发监测随访的影像采集、病情诊断、治疗过程、检查结果、随访跟踪全流程，标注内容精准规范，与影像数据一一匹配，真实还原肝癌术前影像评估与术后复发监测随访的临床实际场景与数据特征。

This dataset centers on the core applications of preoperative imaging evaluation and postoperative recurrence monitoring and follow-up for liver cancer. Its raw data were collected compliantly from cooperating tertiary-grade Class A hospitals, and have undergone full-process processing including data de-identification and document proofreading by a professional team, ultimately forming a high-quality, standardized professional medical dataset. With a total data volume of up to 1 TB, it can be directly connected to various application scenarios such as medical algorithm research and development, model training, and clinical research, providing high-value and highly reliable data support for the development of AI technologies, clinical diagnosis and treatment research, and medical product innovation related to preoperative imaging evaluation and postoperative recurrence monitoring and follow-up for liver cancer.

The dataset as a whole consists of multimodal structured medical data. Each single piece of data is constructed in all dimensions around the workflow of preoperative imaging evaluation and postoperative recurrence monitoring and follow-up for liver cancer, and mainly includes two categories: imaging data and clinical diagnosis and treatment text annotation data. The imaging data are original DICOM-format medical images that retain the original clinical imaging information, with standardized formats and high information integrity. The clinical diagnosis and treatment text annotation data cover core medical documents such as hospital course records, inpatient/discharge records, radiological and laboratory report documents. The field information fully covers the entire workflow of imaging collection, disease diagnosis, treatment process, examination results, and follow-up tracking related to preoperative imaging evaluation and postoperative recurrence monitoring and follow-up for liver cancer. The annotation content is precise and standardized, and is one-to-one matched with the imaging data, truly restoring the actual clinical scenarios and data characteristics of preoperative imaging evaluation and postoperative recurrence monitoring and follow-up for liver cancer.

搜集汇总

背景与挑战

背景概述

该数据集是一个聚焦于肝癌术前影像评估与术后复发监测随访的高质量医疗数据集，数据规模达1TB，来源于合作三甲医院的合规采集，并经过脱敏和标准化处理。其内容为多模态结构化数据，包含DICOM格式的原始影像和精准匹配的临床诊疗文本标注，完整覆盖从术前评估到术后随访的全流程，适用于医疗人工智能技术开发与临床研究。