Deep Learning-Based Automatic System for Diagnosis and Classification of Skin Dermatoses
December 2022
in “
Research Square (Research Square)
”
Studysummary This study discusses the development of deep learning models for diagnosing skin disorders and notes challenges such as lack of data for darker skin tones, without providing new clinical results.
Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer
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.
