Deep Learning-Based Automatic System for Diagnosis and Classification of Skin Dermatoses

    December 2022 in “ Research Square (Research Square) ”
    Sayli Bhavsar, Ninad Mehendale
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    TLDR The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
    The document discusses the development of a deep learning-based automatic system for diagnosing and classifying skin disorders. The increasing prevalence of skin disorders and a shortage of specialists necessitate such automated methods for early detection. The study delves into the basics of creating deep learning models for dermatological classification problems and offers suggestions. It also briefly discusses the lack of medical data for darker skin tones and demographic imbalances in dermatology. Despite the growth of deep learning frameworks, the document highlights that there are still many unexplored challenges and opportunities in this field.
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