A convolutional neural network was able to identify corneal ulcers and scars with high accuracy even among a patient population outside of its training data, according to a study.
“Using photographs of corneal ulcers from the SCUT and MUTT studies, we developed a machine learning algorithm that classifies corneal ulcers and scars with high accuracy,” Charles C. Lin, MD, told Healio/OSN.
Lin and colleagues trained a convolutional neural network to classify active corneal ulcers and scars using 1,313 photos of corneal ulcers and 1,132 photos of corneal scars sourced from (Read more...)