Deep-Learning-Based Morphological Feature Segmentation for Facial Skin Image Analysis

• Published in: Diagnostics (Basel) Vol. 13; no. 11; p. 1894
• Main Authors: Yoon, Huisu, Kim, Semin, Lee, Jongha, Yoo, Sangwook
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.05.2023; MDPI
• Subjects: Accuracy; Annotations; Care and treatment; Computational linguistics; Deep learning; Equipment and supplies; facial skin feature segmentation; facial wrinkles and pores; ground truth generation; Image processing; Labeling; Language processing; Machine vision; Morphology; Natural language interfaces; Neural networks; positional encoding; prior information; semantic segmentation; Skin; Toiletries industry; facial wrinkles and pores; facial skin feature segmentation; prior information; positional encoding; attention; ground truth generation; semantic segmentation

Facial skin analysis has attracted considerable attention in the skin health domain. The results of facial skin analysis can be used to provide skin care and cosmetic recommendations in aesthetic dermatology. Because of the existence of several skin features, grouping similar features and processing...