Detection of Hair Fall and Scalp Disorders Through Machine Learning and Image Processing

    November 2025 in “ Kufa Journal of Engineering ”
    Nagesh, R. Priscilla Joy, Immanuel Johnraja, J. Samson Immanuel
    Studysummary This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
    Read the full study on journal.uokufa.edu.iq →
    Discuss this study in the Community →