TLDR Multi-thresholding is the best method for separating hair from skin in laser hair removal.
The study compared four methods for segmenting hair from skin in laser hair removal: multi-thresholding, binary conversion, low-pass filtering, and high-pass filtering. It concluded that the multi-thresholding method was the most effective for hair segmentation, as it clearly displayed hair patterns with minimal noise, facilitating focused hair removal without damaging the skin.
6 citations
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June 2019 in “Skin Research and Technology” Finasteride works for hair loss by maintaining existing hair follicles, not reversing miniaturization.
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
June 2025 in “Cell Metabolism” Serine is vital for hair follicle stem cells to balance hair growth and skin repair.
58 citations
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December 2018 in “Nature Communications” Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.
39 citations
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December 2018 in “Methods in molecular biology” The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
