DeepLesion 医学影像数据集

DeepLesion 是一个大规模的 CT 图像数据集，以帮助科学界提高病变的检测准确性。数据集在 CT 图像上有超过 32000 个标注病灶 (220GB) 。该数据集包含有多种病变类型，如肺结节、肝肿瘤、淋巴结肿大等。该数据集有可以运用于各类医学图像的潜力。

DeepLesion is a large-scale CT image dataset developed to help the scientific community improve the accuracy of lesion detection. It contains over 32,000 annotated lesions on CT images, with a total size of 220GB. The dataset encompasses a diverse range of lesion types, such as pulmonary nodules, liver tumors, enlarged lymph nodes, and so on. This dataset holds potential for applications across various medical imaging fields.

搜集汇总

背景与挑战

背景概述

DeepLesion是一个大规模CT医学影像数据集，包含32,000多个标注病灶（220GB），涵盖肺结节、肝肿瘤等多种病变类型，旨在提高医学病变检测的准确性。数据集由NIHCC发布，适用于医学影像研究领域。