The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.