research The Ziering Whorl Classification of Scalp Hair
The conclusion is that creating natural-looking hair restoration requires replicating natural scalp whorl patterns and inserting grafts at specific angles.
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390-420 / 1000+ results research Characteristic microstructure of curved human hair
Curved human hair has different structures on its convex and concave sides.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
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.
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 Cicatricial alopecia: classification and histopathology
Early detection and histopathology are crucial to prevent permanent hair loss in cicatricial alopecia.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
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 Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Characterization of surface deposits on human hair fibers
research Characteristic Microstructure of Curved Human Hair
Curved human hair has different structures on each side, which might cause its shape and is similar to wool.
research Dermatoscopic features of central centrifugal cicatricial alopecia
Researchers found a white halo around hair in most patients with a specific type of hair loss, which helps in early diagnosis and treatment.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research Rippled‐pattern trichomatricoma
A unique hair tumor with a rippled pattern was identified, showing incomplete differentiation and unusual cell arrangements.
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 A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
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 A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research A Study of Aggregation Structures and Tensile Properties of Hair Fibers
research Quasi-Static Torsional Deformation of Single Hair Fibers: Application of a Modeling Approach and Results from Cosmetic Treatments.
The research found that twisting hair fibers can show changes in stiffness and damage, and help tell apart different hair treatments.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research The usefulness of dermoscopy in canine pattern alopecia: a descriptive study
Dermoscopy is useful for diagnosing hair loss patterns in dogs.
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 Importance of vascular patterns in the dermoscopy recognition of cutaneous tumors
Vascular patterns in dermoscopy help tell apart malignant and benign skin tumors.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Patrones tricoscópicos de las alopecias cicatrizales
Trichoscopy helps diagnose scarring alopecia early and non-invasively.
research "Curly" Wood and Tiger Tails
Tiger tail bands in hair are caused by wavy hair fibers with melanin, unlike straight fibers in normal hair.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.