research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
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30-60 / 1000+ results research A new classification of early female pattern hair loss
The new system helps detect and track early female hair loss better.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Differences in Perceptions of Beauty and Cosmetic Procedures Performed in Ethnic Patients
The cosmetic industry should adapt to the varied beauty standards of ethnic groups and offer specialized treatments.
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 Alopecia areata - need for a revision in morphological classification and scoring
A new classification and scoring system is needed for alopecia areata to better assess severity.
research Obsessive-compulsive skin disorders: a novel classification based on degree of insight
The new classification system for skin disorders emphasizes the importance of understanding a patient's awareness of their condition for better treatment.
research Novel Systematics of Nomenclature and Classification of Female Functional Androgenization (Including Polycystic Ovary Syndrome and Non-Classic Congenital Adrenal Hyperplasia)
A new system helps better diagnose and treat female androgenization conditions like PCOS.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Standardizing the Classification and Description of Follicular Unit Transplantation and Mini-Micrografting Techniques
Surgeons suggested a standard system for hair transplant methods to improve communication and results.
research A New Classification of Male Pattern Baldness and a Clinical Study of the Anterior Hairline
Researchers created a new system to classify male baldness, finding six types and a common hairline shape, to improve hair loss treatments.
research Study of Hairfall through Cohen hair loss index with reference to different Mizaj
Hair loss patterns are linked to temperament and can help diagnose it.
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 Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups
A 6-group hair classification is more reliable for drug testing than an 8-group system.
research Rethinking the classification of alopecia areata
The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
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 Telogen Effluvium: Is There a Need for a New Classification
The paper suggests improving diagnosis and treatment of telogen effluvium but does not recommend a new classification system.
research Clinical characteristics, subtype classification, and prognostic factors of ophiasis: A retrospective study of 150 patients with therapeutic implications
Ophiasis mainly affects females, lasts longer, and has lower regrowth rates, with a new classification system helping predict treatment response.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research Multifactorial Classification of Male and Female Androgenetic Alopecia
Different factors help diagnose and treat hair loss accurately.
research The Knudsen Nomenclature
Dr. Russell Knudsen's system classifies hair grafts by class, shape, and size for clearer communication in hair restoration surgery.
research PRECISE Scale: a quantitative classification for androgenetic alopecia and its application to hair transplantation
The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.
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 Classification scale for male and female androgenetic alopecia.
Scale created to measure hair loss in men and women; MK-386 reduces acne; Niaspan treats dyslipidemia; minoxidil increases heart rate.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research 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 and accurate way to categorize hair loss in both men and women.
research Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
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 Application of the basic and specific classification on patterned hair loss in Indians
The BASP classification is effective for diagnosing pattern hair loss in Indian men and women.