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.
Share Article
AAA
Suspicious pigmented lesions, which can be indicative of skin cancer, are normally spotted by physicians through visual examination.
| Photo Credit: Getty Images
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.
(Subscribe to our Today's Cache newsletter for a quick snapshot of top 5 tech stories. Click here to subscribe for free.)