Transfer learning with three neural network architectures accurately classifies hair diseases.
GoogLeNet is the best model for identifying folliculitis.
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.
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May 2017 in “InTech eBooks” Hair loss in Androgenetic alopecia (AGA) is due to altered cell sensitivity to hormones, not increased hormone levels. Hair growth periods shorten over time, causing hair to become thinner and shorter. This is linked to miscommunication between cell pathways in hair follicles. There's also a change in gene expression related to blood vessels and cell growth in balding hair follicles. The exact molecular causes of AGA are still unclear.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.