research Hair casts: Classification, staining characteristics, and differential diagnosis
A new method helps identify and classify different types of hair casts.
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research Classification of hair disease
Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.
research Analysis of slenderizing human hair fibers surface morphology
research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research 1375 Cutaneous adnexal cysts revisited: A novel classification based on morphological and molecular features
The conclusion introduces a new way to classify skin cysts using their shape and genetic markers.
research Alopecia classifications
Classifying alopecia helps diagnose and treat different types of hair loss accurately.
research Dermoscopy before and after treatment of cutaneous larva migrans: Through the dermoscope
Dermoscopy may not show hookworms clearly, and comparing it with tissue studies could improve diagnosis accuracy for skin conditions caused by parasites.
research Investigating the internal structure of sheep wool hair fibre using new microscopic techniques
Curly wool has more orthocortex than straight wool.
research Wool fiber curvature is correlated with abundance of K38 and specific keratin‐associated proteins
Wool fiber curliness is linked to the presence of certain proteins and K38.
research Differential wetting characterization of hair fibers.
The new method can tell how hair fibers react to moisture after treatments.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Quantitative Analysis of Cashmere and Other Animal Hair Fibers in Textiles Using MALDI-TOF Mass Spectrometry
The new method reliably identifies and measures different animal hair fibers in textiles.
research Keratoacanthoma and other types of squamous cell carcinoma with crateriform architecture: Classification and identification
Keratoacanthoma and some squamous cell carcinomas are linked to hair follicles, while others are not.
research Validity of trichoscopy in the diagnosis of primary cicatricial alopecias
Trichoscopy is a useful method for identifying primary cicatricial alopecias and their specific types.
research Pattern Formation
The conclusion is that understanding how patterns form in biology is crucial for advancing research and medical science.
research Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy
Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
research Pattern formation on regular polygons and circles
Domain shape greatly affects pattern formation.
research The Ziering Whorl Classification of Scalp Hair
Craig Ziering created a system to classify scalp hair patterns, important for improving hair restoration surgery results.
research Scar classification in cutaneous lupus erythematosus: morphological description
Early scar classification in lupus can improve treatment and patient outcomes.
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 Human scalp hair: geometry, biochemistry, growth parameters and mechanical characteristics
A 6-group geometric classification of human scalp hair is more reliable and objective for testing than an 8-group system.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Intrinsic curvature in wool fibres is determined by the relative length of orthocortical and paracortical cells
Wool fibre curvature is due to longer orthocortical cells compared to paracortical cells.
research Glycoconjugate expression of cells of human anagen hair follicles during keratinization
Human anagen hair follicles have unique carbohydrate patterns during keratinization.
research A new practical classification for spatial distribution and morphology of human hair: Ahmad's LGMA classification
Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.