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.
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5 / 55 resultsresearch Bound on the Risk for Multi-Class Support Vector Machines
The enzyme system in hair follicles is similar to the liver's and is inhibited by certain substances.
research Pre-Trained Classification of Scalp Conditions Using Image Processing
The system can automatically classify scalp conditions with 85% accuracy.
research Estimating Scalp Moisture In A Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
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