Image

    Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images

    B. Shilpa Shree, D. Sumathi, Prem Kumar Ramesh … Farrukh Arslan
    Studysummary This study developed a method using Convolutional Neural Networks to detect nutritional deficiencies, such as iron, zinc, biotin, and vitamins, through high-resolution images of hair and nails, achieving an 89% accuracy rate in identifying these deficiencies.
    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 fmdbpub.com →
    Discuss this study in the Community →