Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition | IEEE Conference Publication | IEEE Xplore

Teledermatologist: Automated Diagnosis of Skin Diseases with Image Recognition


Abstract:

Early diagnosis of skin diseases is crucial for effective treatment, preventing spread, minimizing long-term damage, managing chronic conditions, detecting underlying hea...Show More

Abstract:

Early diagnosis of skin diseases is crucial for effective treatment, preventing spread, minimizing long-term damage, managing chronic conditions, detecting underlying health issues, and promoting psychological well-being. It is often necessary to do difficult tests in order to obtain a diagnosis, which demands a lot of resources from patients as well as medical personnel. Motivated by this shortage, we introduce a user-friendly and private system for the automatic detection of skin disease from a picture. Our system employs a deep neural model for the accurate classification of a given picture to one of the predefined classes of diseases. We created a large dataset of six skin lesion types and tested different neural models. The best-performing model, which achieved 92% accuracy, was integrated into our system. The application and its web demo can be accessed at https://teledermatologis-ai.streamlit.app/.
Date of Conference: 04-07 December 2023
Date Added to IEEE Xplore: 29 January 2024
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Conference Location: Jeju, Korea, Republic of

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