1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
September 2023 in “Journal of the American Academy of Dermatology” The model can effectively identify good quality skin images but needs more testing for real-world use.
18 citations
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.