ArticleScientific reports2021
Facial UV photo imaging for skin pigmentation assessment using conditional generative adversarial networks.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- AI-assisted quantitative analysis for evaluating melanin distribution in 3D pigmented epidermis-on-a-chip models.Frontiers in bioengineering and biotechnology · 2026Article
- A novel skin pigment separation method based on sub-block selection and local clustering.PloS one · 2025Article
- Integrated deep learning approach for generating cross-polarized images and analyzing skin melanin and hemoglobin distributions.Biomedical engineering letters · 2024Article
- Integration of synaptic phototransistors and quantum dot light-emitting diodes for visualization and recognition of UV patterns.Science advances · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skin pigmentation is associated with skin damages and skin cancers, and ultraviolet (UV) photography is used as a minimally invasive mean for the assessment of pigmentation. Since UV photography equipment is not usually available in general practice, technologies emphasizing pigmentation in color photo images are desired for daily care. We propose a new method using conditional generative adversarial networks, named UV-photo Net, to generate synthetic UV images from color photo images. Evaluations using color and UV photo image pairs taken by a UV photography system demonstrated that pigment spots were well reproduced in synthetic UV images by UV-photo Net, and some of the reproduced pigment spots were difficult to be recognized in color photo images. In the pigment spot detection analysis, the rate of pigment spot areas in cheek regions for synthetic UV images was highly correlated with the rate for UV photo images (Pearson's correlation coefficient 0.92). We also demonstrated that UV-photo Net was effective for floating up pigment spots for photo images taken by a smartphone camera. UV-photo Net enables an easy assessment of pigmentation from color photo images and will promote self-care of skin damages and early signs of skin cancers for preventive medicine.
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Registered trials
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