DeepErythema: A Study on the Consistent Evaluation Method of UV SPF Index through Deep Learning

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Lee, Cheolwon, Yoo, Sangwook, Lee, Han Na, Lee, Jongha
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer Vision; Deep Learning; Digital imaging; Erythema; Feature extraction; Image segmentation; Inspection; Irradiation; Reduction; Semantic Segmentation; Specific gravity; Ultraviolet radiation; UV SPF Index

This study presents a deep learning-based approach for consistent Sun Protection Factor (SPF) grading by quantifying skin erythema. Despite strict international standards, the current human-based Minimum Erythema Dose (MED) determination method for SPF evaluation suffers from inconsistency due to su...