research Quantitative morphometric analysis of hair follicles in alopecia areata
Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
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450-480 / 1000+ resultsresearch Automated analysis of scanning electron microscopic images for assessment of hair surface damage
A new automated method accurately measures hair damage using microscopic images.
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 “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 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 197 Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
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 CUBIC Protocol Visualizes Protein Expression at Single Cell Resolution in Whole Mount Skin Preparations
The CUBIC protocol allows detailed 3D visualization of proteins in mouse skin biopsies.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
Researchers developed a new, precise method to measure hair loss in mice using image analysis.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Using morphological operators and inpainting for hair removal in dermoscopic images
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
research 144 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI effectively maps and quantifies drug distribution in skin tissues.
research 368 Methods in Inflammatory Hair Disease Research: Enhanced Multiplex Imaging on Alopecia Areata Tissue Sections
New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research Development of a Visual Extension of the Severity of Alopecia Tool (VESALT) for Alopecia Areata
VESALT improves alopecia areata assessment by including non-scalp areas and is reliable and user-friendly.
research 686 Evaluation of contamination and quantification of drug penetrations studies using Quantitative Mass Spectrometry Imaging
QMSI is a valuable method for studying drug penetration in skin tissues.
research STRIAA (Severity TRichoscopy Index Alopecia Areata): Validation of a Novel Trichoscopic Tool for Evaluation of Alopecia Areata
The STRIAA tool helps doctors quickly and effectively assess the severity of Alopecia Areata.
research Quantitative assessment of female pattern hair loss
Computer-aided imaging system helps measure balding area in female pattern hair loss.
research เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and 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 TrichoScan: A Novel Tool For The Analysis of Hair Growth In Vivo
TrichoScan is a reliable method for measuring hair growth and is useful for assessing hair loss treatments.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.