Health IT Analytics July 23, 2018
The dataset contains over 32,000 medical images that may improve the detection of lesions or new disease and support future deep learning algorithms.
The National Institutes of Health (NIH) Clinical Center has released a dataset of more than 32,000 medical images to help enhance the accuracy of lesion detection.
The dataset, called DeepLesion, contains thoroughly anonymized images representing over 4400 unique patients. DeepLesion contains significantly more images than other publicly available medical image datasets, which typically have less than a thousand lesions.
NIH radiologists annotate clinically meaningful findings on CT images with an electronic bookmark tool, which allows them to mark features of interest and return to these findings later. The bookmarks provide arrows, lines, diameters, and text that can...