GAN-Based ROI Image Translation Method for Predicting Post-Hair Transplant Surgery Images

    December 2021 in “ Electronics ”
    Doyeon Hwang, Seok-Hwan Choi, Jinmyeong Shin … Yoon-Ho Choi
    Studysummary In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.
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    Research cited in this study 3

    1. ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health IEEE Access · 2020
    2. Perception of Hair Transplant for Androgenetic Alopecia JAMA Facial Plastic Surgery · 2016
    3. Psychological Features of Androgenetic Alopecia Journal of the European Academy of Dermatology and Venereology · 2002