research TrichoScan: combining epiluminescence microscopy with digital image analysis for the measurement of hair growth in vivo.
TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
Search
for
Sort by
Research
30 / 1000+ results 
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 Automated digital image analysis (TrichoScan®) for human hair growth analysis: Ease versus errors
TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
research Methods of evaluating hair growth
Global photography and phototrichogram techniques are the best current methods for measuring hair growth.
research Trichoscan: What Is New?
Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.
research TrichoScan
TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.
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 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 Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research New Frontiers of Non‐Invasive Detection in Scalp and Hair Diseases: A Review of the Application of Novel Detection Techniques
New non-invasive techniques can improve diagnosis and treatment of scalp and hair diseases.
research Evaluación de la eficacia y seguridad del tratamiento tópico y del tratamiento oral en la alopecia androgenética y hormonal
The treatment effectively promoted hair growth with minimal side effects.
research A spilt head study of efficacy of placebo versus platelet-rich plasma injections in the treatment of androgenic alopecia
Platelet-rich plasma injections can effectively treat male pattern hair loss, improving hair density and quality with high patient satisfaction.
research Management of hypotrichosis of the eyelashes: Focus on bimatoprost
Bimatoprost ophthalmic solution 0.03% safely and effectively increases eyelash growth when applied to the upper eyelid.
research Safety and Efficacy of Bimatoprost Solution 0.03% Topical Application in Patients with Chemotherapy-Induced Eyelash Loss
Bimatoprost is safe and effective for treating eyelash loss caused by chemotherapy.
research Management of Hypotrichosis of the Eyelashes
Bimatoprost ophthalmic solution 0.03% is a safe and effective way to increase eyelash growth.
research Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Quantification of hair follicle parameters using computer image analysis: A comparison of androgenetic alopecia with normal scalp biopsies
Hair follicles are smaller in people with androgenetic alopecia compared to those with normal scalps.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
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.
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 Quantitative assessment of female pattern hair loss
Computer-aided imaging system helps measure balding area in female pattern hair loss.
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 Online Traffic Analysis of Direct-to-Consumer Websites for Hair Loss Treatment and Characterization of Finasteride Patients on a Platform in Germany: A Potential Paradigm Shift in the Treatment of Androgenetic Alopecia
More people are using online platforms for hair loss treatment due to convenience and privacy.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
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 An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
research 画像解析による抗がん剤脱毛頭皮の形態構造の検証
Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
research Critical study of hair growth analysis with computer-assisted methods
The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.