A Cooperative Hybrid Learning Framework for Automated Dandruff Severity Grading

Computers, materials & continua/Computers, materials & continua (Print) 2026 Open access

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Authors: Sin-Ye Jhong, Hui-Che Hsu, Hsin-Hua Huang, Chih‐Hsien Hsia, Yulius Harjoseputro, Yung-Yao Chen
DOI: 10.32604/cmc.2026.072633
Cited by: 0

Abstract

Automated grading of dandruff severity is a clinically significant but challenging task due to the inherent ordinal nature of severity levels and the high prevalence of label noise from subjective expert annotations. Standard... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Nail Diseases and Treatments Machine Learning and Data Classification Smart Agriculture and AI

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Volume
87
Issue
1
Pages
1–10
Publication date
1 January 2026
Language
EN