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Using deep learning algorithm to spot skin cancer
Updated:
Updated:
April 07, 2021 13:39 IST
The researchers tested the system against visually classified lesions by dermatologists and found that it achieved over 90% sensitivity in distinguishing SPLs from nonsuspicious lesions, skin, and complex backgrounds.
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Suspicious pigmented lesions, which can be indicative of skin cancer, are normally spotted by physicians through visual examination.
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The researchers tested the system against visually classified lesions by dermatologists and found that it achieved over 90% sensitivity in distinguishing SPLs from nonsuspicious lesions, skin, and complex backgrounds.
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