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Creators of applications in the medical domain often deal with medical images, such as ultrasound images or CT scans. In this domain, data summarization and validation are of vital importance. For example, an automated analysis of medical images could reveal data leakage that introduces bias in a machine learning classifier. Medical imaging datasets are widely available.
Visions should, next to photographic images, support medical image types.
Creators of applications in the medical domain often deal with medical images, such as ultrasound images or CT scans. In this domain, data summarization and validation are of vital importance. For example, an automated analysis of medical images could reveal data leakage that introduces bias in a machine learning classifier. Medical imaging datasets are widely available.
Visions should, next to photographic images, support medical image types.
A collection of datasets that could get these types started can be found here:
https://github.com/sfikas/medical-imaging-datasets
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