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:

Recommended Books

Description: In this book, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.

Post Sorurce: Radiopedia


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