7 citations
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January 2012 Neural networks can effectively predict hair loss.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
3 citations
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December 2018 in “Meta Gene” Certain gene variations increase male hair loss risk, influenced by hormone levels.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.