research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
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research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
research Identification of factors contributing to phenotypic divergence via quantitative image analyses of autosomal recessive woolly hair/hypotrichosis with homozygous c.736T>ALIPH mutation
Different hair fiber development might explain why hair loss severity varies in patients with a specific genetic mutation, and treatments that thicken hair could help.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Chemical and physical treatments damage Caucasian and Afro‐ethnic hair fibre: analytical and image assays
Chemical and physical treatments like bleaching, dyeing, and UV radiation damage both Caucasian and Afro-ethnic hair.
research Netherton Syndrome With Trichorrhexis Invaginata “Bamboo Hair” Under Dermoscopy: Case Images
Netherton syndrome causes skin and hair issues, confirmed by "bamboo hair" under dermoscopy, with no cure but managed with topical treatments.
research RETRACTED: Is photoshop with Qualitative Image Analysis a valid technique for measuring hair morphology? A test using wires of known dimensions
QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
research Electron microscopy-image analysis: Quantification of ultrastructural changes in hair fiber cross sections as a
research Optical properties of hair: effect of treatments on luster as quantified by image analysis.
Treatments with certain oils and resins make hair shinier, while zinc oxide and synthetic sebum make it duller.
research Editing Shading Effects in a Single Hair Image Considering Occlusion Between Hair Fibers
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research The role of injectable regenerative treatments in the management of female pattern hair loss and their impact on patient-reported body image
Injectable treatments like PRP can improve hair growth in women, but their effect on body image is unclear.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Hair Color Digitization through Imaging and Deep Inverse Graphics
A new method accurately captures and renders hair color for real and synthetic images.
research On the geographies of hair: Exploring the entangled margins of the bordered body
Hair significantly shapes body identity and social interactions, influencing how we perceive and relate to our bodies.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Computerized morphometry and three-dimensional image reconstruction in the evaluation of scalp biopsy from patients with non-cicatricial alopecias
The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
research Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization
Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
research Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research Quantification of female pattern hair loss: a study in a Turkish population.
Turkish women with female pattern hair loss have lower hair density, and visual counting is more effective than digital image analysis for detecting this.
research Automated digital image analysis (TrichoScan) in male patients with androgenetic alopecia; comparison with manual marking of hairs on trichoscopic images
TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.
research Natural ‘Green’ Sugar-Based Treatment for Hair Styling
Scientists created a non-toxic, sugar-based hair product that can style hair without damage.
research Supplementary Images & Discussion - Tolerated, Effective, Successful: Low Dose Oral Minoxidil for Treating Alopecia, A 3-Year North American Retrospective Case Series
Low-dose oral minoxidil effectively treats hair loss with good tolerance.
research Photographic Imaging in Hair Loss
Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
research Growth Inhibition and Transient Temperature Measurement of Laser-Irradiated Hair Fibers and Follicles
Laser treatment can inhibit hair growth and different hair colors reach different temperatures when lasered.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.