October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
10 citations,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
2 citations,
November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.