杭州市第一人民医院2020年-2025年胸部CT肺结节三维重建数据集

该数据集为杭州市第一人民医院在 2020–2025 年临床影像检查中形成的胸部 CT 肺结节三维重建数据集。数据涵盖患者基本信息（年龄）、影像检查信息（检查日期、胸部 CT 影像描述、报告结论、检查所见）及影像存储位置，覆盖肺结节检测、三维重建及影像分析的全流程。由于 DICOM 影像文件体积较大，本数据集在展示阶段仅提供影像在我院内部的存储路径。需求方如需查看具体影像样本，可联系我院获取查看权限或样例数据。
数据集经过脱敏处理，并采用标准化存储格式，可作为人工智能算法与模型训练的重要数据基础，支持肺结节智能识别、三维重建、病灶分型及辅助诊断，同时可服务于科研教学、影像学真实世界研究及临床决策支持，推动影像智能化与精准医疗应用。

This dataset is a 3D reconstruction dataset of pulmonary nodules from chest CT scans generated during clinical imaging examinations at Hangzhou First People's Hospital between 2020 and 2025. The data covers basic patient information (age), imaging examination information (examination date, chest CT image description, report conclusion, and examination findings), as well as image storage locations, covering the entire workflow of pulmonary nodule detection, 3D reconstruction, and image analysis. Due to the large file size of DICOM images, this dataset only provides the internal storage paths of the images at our hospital during the display stage. If requesters wish to view specific image samples, they can contact our hospital to obtain access permissions or sample data.

The dataset has been de-identified and stored in a standardized format, serving as an important data foundation for the training of AI algorithms and models. It supports intelligent recognition of pulmonary nodules, 3D reconstruction, lesion typing, and auxiliary diagnosis, and can also be used for scientific research, teaching, real-world imaging research, and clinical decision support, promoting the application of imaging intelligence and precision medicine.

搜集汇总

背景与挑战

背景概述

该数据集包含杭州市第一人民医院2020-2025年脱敏处理的胸部CT肺结节三维重建临床数据，涵盖患者信息、影像检查记录及存储路径，适用于肺结节智能识别、三维重建等AI模型训练及医学研究。原始DICOM影像需通过医院授权获取。