Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
October 2023
in “
International Journal on Recent and Innovation Trends in Computing and Communication
”
New to Alopecia Areata? There is a guide in the encyclopedia. Read the guide → Studysummary In this study, researchers developed a novel image processing method using a multi-class support vector machine that achieved an 89.3% accuracy in classifying alopecia areata and related conditions, outperforming existing models in classification accuracy.
Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
