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.
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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 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 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 Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research A Simple Technique for Revealing the Surface Pattern of Hair
A simple method can show hair's surface pattern.
research Differential wetting characterization of hair fibers.
The new method can tell how hair fibers react to moisture after treatments.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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 Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research Pattern formation on regular polygons and circles
Domain shape greatly affects pattern formation.
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 Classification of hair disease
Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.
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 Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
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 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 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 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.
research Scar classification in cutaneous lupus erythematosus: morphological description
Early scar classification in lupus can improve treatment and patient outcomes.
research Investigating the internal structure of sheep wool hair fibre using new microscopic techniques
Curly wool has more orthocortex than straight wool.
research Pili trianguli et canaliculi as a phenotypic subtype in patients with central centrifugal cicatricial alopecia: A scanning electron microscopy study
Hair shaft changes may be linked to CCCA, but their role is unclear.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Pattern Formation
The conclusion is that understanding how patterns form in biology is crucial for advancing research and medical science.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
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 DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research Elastin staining patterns in primary cicatricial alopecia
Elastin staining helps assess late-stage scarring alopecia but is not definitive, and clinical diagnosis is still crucial.
research Trichoscopic Clues for Diagnosis of Patchy Scalp Alopecia in the Egyptian Patients
Trichoscopy helps effectively tell apart different types of patchy hair loss in Egyptian patients.
research Faculty Opinions recommendation of A new classification of pattern hair loss that is universal for men and women: basic and specific (BASP) classification.
The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.