Algorithm for a “deep learning” process can predict OCT measurements from colour fundus photographs
Research scientists in Switzerland and the United States have published a new study to apply “deep learning” (DL) algorithms using colour fundus photographs (CFPs) to detect 97% accuracy results in diabetic macular edema (DME).
