6 citations,
July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.