ПРЕПРИНТ
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Skin disease diagnosis is a critical area in medical research, aiming to improve early detection and treatment through advanced computational methods. This study presents a framework for automated classification of various skin conditions using machine learning and deep learning techniques. By leveraging image datasets of different skin diseases, our approach demonstrates high accuracy in distinguishing between multiple disease categories. The proposed system has the potential to assist healthcare professionals in clinical decision-making, reduce diagnostic errors, and enhance patient care. Future work includes expanding the dataset, optimizing model performance, and integrating the system into practical healthcare applications.
Muktarkanova G. T. 2025. Skin disease diognosis. PREPRINTS.RU. https://doi.org/10.24108/preprints-3114049
