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.
January 2022 in “Journal of Pharmaceutical Negative Results” The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
11 citations,
May 2011 in “World Journal of Pediatrics” The document emphasizes the importance of correctly identifying and classifying genetic hair disorders to help diagnose related health conditions.
16 citations,
February 1992 in “Journal of Consumer Marketing” The authors suggest systematically sourcing new product ideas from various internal and external places to improve innovation.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.