The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
November 2024 in “Image Analysis & Stereology” The method improves hair image segmentation accuracy while reducing annotation costs.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
March 2026 in “Applied Sciences” AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
50 citations
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December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
6 citations
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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.
2 citations
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November 2018 in “Modern Applied Science” The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
August 2025 in “Annals of Indian Psychiatry” Hair loss can affect mood, self-esteem, body image, and quality of life.
31 citations
,
August 2001 in “PubMed” TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
13 citations
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August 1995 in “Australasian Journal of Dermatology” Hair follicles are smaller in people with androgenetic alopecia compared to those with normal scalps.
January 2010 in “Computerized Tomography Theory and Applications” Dermoscopy image analysis is a simple, effective way to evaluate hair growth and product efficacy.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
12 citations
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February 2006 in “Lipids” Hair texture changes with age due to varying levels of lipids.
4 citations
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
7 citations
,
September 2014 in “European Journal of Dermatology” Thicker hair grows faster; hair loss patients have slower growth.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
April 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Exosomes from small-tailed Han sheep enhance hair growth in mice.
April 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Exosomes from small-tailed Han sheep can boost hair growth and thickness in mice.
21 citations
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January 2010 in “International Journal of Trichology” TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
1 citations
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January 2007 in “AIP conference proceedings” High-resolution x-ray images showed three main structures in human hair: medulla, cortex, and cuticle.
Women with female pattern hair loss tend to have lower self-esteem and body image concerns, but higher self-esteem is linked to more self-compassion.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
June 2020 in “Applied sciences” A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
1 citations
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January 2004 in “Fashion business” Hair color affects how people perceive personality traits.
3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.
April 2023 in “Journal of Investigative Dermatology” 3D ultrasound can detect hair follicle changes and disease phases in alopecia areata.
10 citations
,
January 2020 in “Royal Society Open Science” A new automated method accurately measures hair damage using microscopic images.
1 citations
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November 2003 in “Humana Press eBooks” AFM helps study hair surfaces for dermatology, cosmetics, and forensics.