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AI can help detect melanoma

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How it works: A wide-field image, acquired with a smartphone camera, shows large skin sections from a patient in a primary-care setting. An automated system detects, extracts, and analyzes all pigmented skin lesions observable in the wide-field image.

A pre-trained deep convolutional neural network (DCNN) determines the suspiciousness of individual pigmented lesions and marks them (yellow = consider further inspection, red = requires further inspection or referral to dermatologist).

Extracted features are used to further assess pigmented lesions and to display results in a heatmap format.

https://news.mit.edu/2021/artificial-intelligence-tool-can-help-detect-melanoma-0402



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