Hair and Scalp Disease Detection Using Machine Learning and Image Processing

    Mrinmoy Roy, Anica Tasnim Protity
    Studysummary This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.
    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 ej-compute.org →
    Discuss this study in the Community →