4 citations
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April 2024 in “Complex & Intelligent Systems” NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
8 citations
,
February 2019 in “Scientific Reports” Immunofluorescence tomography is a cost-effective method for creating detailed 3-D images of tissues.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Higher resolution images are needed to identify scarring and fine hair in alopecia.
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.
March 2018 in “Surgical and Radiologic Anatomy” High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
1 citations
,
November 2004 in “International Journal of Cosmetic Science” External agents penetrate skin more easily in areas with fewer lipids, especially through hair follicles.
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.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
9 citations
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January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
3 citations
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January 2019 in “Electronic Imaging” The device accurately estimates natural hair color at the roots in real time.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
1 citations
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March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
21 citations
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September 2008 in “Magnetic Resonance Imaging” MRI can effectively image skin structures noninvasively.
1 citations
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December 2014 in “Scanning” Multiphoton microscopy effectively images rabbit skin structures in detail without staining and shows differences from human skin.
5 citations
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January 2019 in “Methods in molecular biology” Multiphoton microscopy can effectively image live cells in cornea, skin, and hair follicles over time.
2 citations
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December 2024 in “Microscopy Research and Technique” A new laser-based microscope can clearly image biological structures without labels.
16 citations
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September 2016 in “Experimental Dermatology” Two-photon microscopy effectively tracks live stem cell activity in mouse skin with minimal harm and clear images.
10 citations
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January 2015 in “Skin appendage disorders” Low-cost videomicroscopes are not as reliable as standard videodermatoscopes for scalp examination due to lower image quality.
August 2018 in “Journal of Investigative Dermatology” The conclusion is that using light-sheet fluorescence microscopy with a special solution can effectively create detailed 3D images of human skin for dermatological research.
6 citations
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March 2022 in “IET Image Processing” Targeting the narrowest part of the anterior chamber angle may help prevent pupil block in glaucoma.
2 citations
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May 2019 in “BioTechniques” Industry 4.0 is transforming labs with new tools, making research more efficient and environmentally friendly.
5 citations
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March 2024 in “Frontiers in Bioengineering and Biotechnology” A detailed 3D model of human skin was created to help develop artificial skin.
December 2025 in “International Journal of Cosmetic Science” A new tool helps better assess and treat hair loss in Chinese men.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
3 citations
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October 2006 in “Journal of dermatology” X-ray microscopy can non-invasively show hair structure changes after treatments, but it's less detailed than TEM and needs improvement.
21 citations
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July 2004 in “Apmis” Fluorescent proteins help visualize and understand tumor blood vessel growth.
Transfer learning with three neural network architectures accurately classifies hair diseases.