25 citations
,
January 1992 in “International Journal of PIXE” Trace elements can impact health, causing issues like zinc deficiency, copper-related diseases, mercury and lead toxicity, and more.
1 citations
,
January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
9 citations
,
March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
December 2023 in “Modern engineering and innovative technologies” ChromaLens offers more precise and stable hair coloring than traditional methods.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
3 citations
,
January 2019 in “Electronic Imaging” The device accurately estimates natural hair color at the roots in real time.
2 citations
,
November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
An automated system can accurately classify hair disorders using image analysis.
6 citations
,
January 2018 in “Multimedia Tools and Applications” The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
July 2026 in “Journal of King Saud University - Computer and Information Sciences” The new method improves alopecia areata lesion detection, aiding diagnosis and treatment.
March 2015 in “Journal of Visualized Experiments” A new method measures mouse hair loss using shades of gray.
2 citations
,
July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
1 citations
,
January 2023 in “Frontiers in Physiology” The method allows precise cell removal without harming nearby tissues.
January 2025 in “Journal of Imaging Informatics in Medicine” March 2026 in “Mendeley Data” March 2026 in “Mendeley Data”
6 citations
,
July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
December 2018 in “European Journal of Pediatric Dermatology/PD. European journal of pediatric dermatology” Segmental vitiligo affects hair follicle melanocytes, causing small, uniform depigmented spots.
25 citations
,
November 2010 in “Journal of Molecular Structure” Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
10 citations
,
November 2018 in “bioRxiv (Cold Spring Harbor Laboratory)” New laser particles can track thousands of cells in 3D models, improving single-cell analysis.
September 2023 in “Journal of the American Academy of Dermatology” The model can effectively identify good quality skin images but needs more testing for real-world use.
1 citations
,
May 2016 in “Dermatologic Surgery” The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
1 citations
,
January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
2 citations
,
January 2019 in “Springer eBooks” Segmental Vitiligo is a stable, early-onset form of vitiligo that responds well to early treatment and is ideal for repigmentation studies.
June 2026 in “Virtual and Physical Prototyping” A new method creates precise, stable microscale structures with reduced friction and potential for complex designs.
1 citations
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December 2024 in “Revista Eletrônica Acervo Saúde” Black skin has unique features and conditions, needing tailored dermatological care.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.