DeepLesion is a large-scale and diverse database of lesions in CT images. It was collected based on the bookmarks in the picture archiving and communication system of NIH. Currently, it contains 32,735 lesions from 32,120 axial CT slices of 4,427 patients. It can be used in studies of multi-class lesion detection, retrieval, segmentation, etc.

DeepLesion will be released soon.

visualization of the DeepLesion dataset

Please refer to our paper: Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database (paper, supplementary)
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, and Ronald M. Summers, IEEE CVPR, 2018.6.