October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
Transfer learning with three neural network architectures accurately classifies hair diseases.
GoogLeNet is the best model for identifying folliculitis.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.