FEATURE DETECTION BASED ON TRAINING WITH REPURPOSED IMAGES

摘要

A system, a method and/or a computer-readable storage medium are configured to detect a feature of a rare disease that visually manifests in images generated by an imaging modality at a health care entity based on training with repurposed images of the health care entity. A repurposed image includes values of pixels of an image generated by the imaging modality that does not include the feature and values of pixels of a synthetic feature in a feature image that visually mimics the feature. The feature image is created based on a model and user input. A set of repurposed images are used to train an artificial intelligence algorithm to detect the feature in images. Optionally, the trained artificial intelligence algorithm can be validated with images generated by the imaging modality that include the feature. The trained artificial intelligence algorithm used to detect the feature in an image of a subject.