research Alopecia classifications
Classifying alopecia helps diagnose and treat different types of hair loss accurately.
Search
for
Sort by
Research
30 / 1000+ resultsresearch Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Korean Consensus Criteria for the Severity Classification of Alopecia Areata
The criteria help doctors diagnose and treat alopecia areata more effectively.
research Relationship of Hair Regrowth Pattern in Alopecia Areata Patches According to DIMT Classification with Treatment Modalities and Patch Size: A Retrospective Cross-Sectional Analysis
Treatment type and patch size affect hair regrowth patterns in alopecia areata.
research Multifactorial Classification of Male and Female Androgenetic Alopecia
Different factors help diagnose and treat hair loss accurately.
research Guidelines for management of androgenetic alopecia based on BASP classification-the Asian consensus committee guideline
Use 5% minoxidil or oral finasteride for mild-to-moderate hair loss, combine with hair transplant for severe cases.
research Analysis of familial factors using the basic and specific (BASP) classification in Korean patients with androgenetic alopecia
Familial factors affect hair loss types in Koreans, with M type in men, L type in women, and paternal factors influencing male hair loss more.
research Reconsidering the classification of vitiligo and alopecia as cosmetic concerns in Medicaid and Tricare policies
Vitiligo and alopecia should be covered by Medicaid and TRICARE as medical, not cosmetic, conditions.
research Association between androgenetic alopecia and cardiovascular risk factors according to BASP classification in Korean androgenetic alopecia
Korean patients with androgenetic alopecia may have a higher risk of heart-related health issues and could benefit from early heart screening and healthier lifestyles.
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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
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 Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
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 Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research Prevalence of fronto-vertex baldness and its association with family history of androgenetic alopecia in Korean men using basic and specific classification
Baldness is common in Korean men (60.5%), and those with a family history are 3.1 times more likely to have hairline recession.
research BASP-Classification of Androgenetic Alopecia: Application Experience in Men
The M-type is the most common form of male hair loss, and the BASP-classification is easy for different medical professionals to use.
research Cicatricial alopecia: classification and histopathology
Early detection and histopathology are crucial to prevent permanent hair loss in cicatricial alopecia.
research Classification of the types of androgenetic alopecia (common baldness) occurring in the female sex
Common baldness, also known as Androgenetic Alopecia, is caused by a combination of genetic factors and hormones called androgens.
research Classification and Scoring of Androgenetic Alopecia (Male and Female Pattern)
The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.
research 7 Pathogenesis and Classification of Male Pattern Hair Loss (Androgenic Alopecia)
Male pattern hair loss is mainly caused by genetics and hormones, especially DHT.
research Classification and Scoring of Androgenetic Alopecia (Male and Female Pattern)
The document explains how hair loss in men and women, known as Androgenetic alopecia, is categorized using the Hamilton-Norwood system for men and the Ludwig grade system for women.
research Classification and Scoring of Androgenetic Alopecia (Male and Female Pattern)
research A Study of Clinical features and classifications of alopecia patients in Korean medicinal clinic
Korean clinic alopecia patients were mostly 20-30 years old, had rapid onset, and showed different symptoms in men and women, with androgenic alopecia being the most common type.
research Evaluation of long‐term efficacy of finasteride in Korean men with androgenetic alopecia using the basic and specific classification system
Finasteride effectively treats hair loss in Korean men for at least 5 years, with V type responding better.
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 FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
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 AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.