Public Medical Imaging Datasets For Artificial Intelligence Models Skip to main content

Public Medical Imaging Datasets For Artificial Intelligence Models

 Gathering imaging data is a fundamental part of creating artificial intelligence models for diagnostic radiology. These datasets can be used for various functions, such as training and testing machine learning algorithms, segmentation, classification, and other purposes. While many convolutional neural networks for image recognition tasks require at least thousands of images for training, lesser amounts of data are more useful other analyzing textures, transfer learning, fine-tuning, and other techniques.
Given the sensitivity of patient privacy, numerous commercial artificial intelligence models are based on exclusive data sets or individual hospital data sets that are not available. Despite this, there are a few sets of radiological images and/or reports publicly accessible on the following websites. In this post, we will list some of the best available medical imaging and healthcare-related datasets.

Public Medical Imaging Datasets

The Cancer Imaging Archive

Other datasets can be also found on The Cancer Imaging Archive which contains links to many open radiology data sets such as:

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Post Sorurce: Radiopedia

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