research Revised NPRT Classification System Encompasses Additional Patterns of Male and Female Hair Loss
The updated NPRT system now covers different types of hair loss in men and women.
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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.
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 Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
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 Frequency of Different Pattern of Hair Loss in Pakistani Men Using BASP Classification
M type hair loss is the most common in Pakistani men.
research Classifications of patterned hair loss: a review
Different types of hair loss need specific treatments, and while many classification systems exist, each has its flaws; more research is needed to refine these systems and treatments.
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.
research The Cohen hair loss classification system
Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
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 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 Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
research P154 Revised basic and specific (BASP) classification for pattern hair loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
research 8 Pathogenesis and Classification of Female Pattern Hair Loss
Female pattern hair loss affects many women and requires specialized care.
research Classification of male-pattern hair loss
No current system perfectly classifies male-pattern hair loss, indicating a need for a new system for better diagnosis and treatment.
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 The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research Hair Transplant: Classification, Analysis, and Treatment Planning of Male Pattern Hair Loss and Newer Techniques in FUT Hair Restoration
Hair restoration surgery is becoming more common as male pattern baldness increases with age.
research Platelet‐rich plasma in hair loss—Mechanism, preparation, and classification
Platelet-rich plasma may help with hair loss by promoting hair growth.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
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 Interrater Agreement of Rater and Subject Assessment of Male Pattern Hair Loss
Men often see themselves as balder than experts do.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Significant relationship between temporal hair loss and other scalp areas in female pattern hair loss
Temporal hair loss relates to overall scalp hair loss in women.
research Hair transplantation in women: A practical new classification system and review of technique
A new hair loss classification for women improves treatment, but careful patient selection is crucial for successful hair transplantation.
research Prevalence of Male Pattern Hair Loss in 18–49 Year Old Men
Hair loss is more common in men aged 18-49 and increases with age.
research Clinical Analysis of 1,360 Patients Presenting with Male Pattern Hair Loss
Male pattern hair loss is diagnosed and treated earlier and is milder, possibly due to early puberty.
research A CROSS SECTIONAL DESCRIPTIVE STUDY TO INVESTIGATE THE PATTERN AND GRADING OF FEMALE PATTERN HAIR LOSS IN POLYCYSTIC OVARIAN SYNDROME PATIENTS.
12.5% of women with PCOS experience moderate hair loss, highlighting the need for early detection and management.