A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health

    January 2024
    P. Bharath Kumar Chowdary, Ameti Sadhana, Chintamaneni Mahalakshmi … Srija Tulasi
    Studysummary This study aims to develop an automatic machine learning-based method using the VGG-19 model to accurately classify various hair and scalp diseases.
    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 link.springer.com →
    Discuss this study in the Community →

    Research cited in this study 3

    1. Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets European Journal of Human Genetics · 2022
    2. Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks Sensors · 2022
    3. Genetic Prediction of Male Pattern Baldness PLoS Genetics · 2017