Development of a new classification and scoring system for scalp conditions: Scalp Photographic Index (SPI)
February 2023
in “
Journal of Dermatological Treatment
”
Research cited in this study
3 / 3 results
research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
research Objective Outcome Measures: Collecting Meaningful Data on Alopecia Areata
The document suggests using standardized methods to track and measure hair loss in alopecia areata, including patient self-assessment and a 50% improvement in specific scores as a treatment goal.
research Evaluation and Diagnosis of the Hair Loss Patient
Trichoscopy is a quick, cost-effective tool for diagnosing different hair loss conditions.
Similar Research
5 / 1000+ results
research Videodermoscopy Scalp Psoriasis Severity Index (VSCAPSI): A useful tool for evaluation of scalp psoriasis
The VSCAPSI is a helpful method for evaluating the severity of scalp psoriasis.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Validation and clinical relevance of a novel scalp coverage scoring method
The new scalp coverage scoring method accurately measures hair loss and growth in men.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.