PhotoScan

Researchers at Google developed PhotoScan, a deep learning method that estimates body composition from smartphone selfies, achieving a mean absolute error of 2.15% for total body fat percentage agains…

Google Research announced on August 17th that its deep learning method PhotoScan, which estimates body composition from smartphone images, can help classify insulin resistance nearly as well as a dual…

Google Research scientists Cassie Zhou and Ahmed Metwally demonstrated that PhotoScan, a deep learning framework estimating body composition from smartphone photos, can predict insulin resistance with…