Semi-Supervised Facial Acne Segmentation Using Bidirectional Copy–Paste

• Published in: Diagnostics (Basel) Vol. 14; no. 10; p. 1040
• Main Authors: Kim, Semin, Yoon, Huisu, Lee, Jongha
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.05.2024
• Subjects: Ablation; Acne; acne segmentation; bidirectional copy–paste; Deep learning; Diagnosis; Image segmentation; Machine learning; Medical research; Methods; Neural networks; semantic segmentation; Semantics; semi-supervised learning; South Korea; deep learning; acne segmentation; bidirectional copy–paste; semantic segmentation; semi-supervised learning

Facial acne is a prevalent dermatological condition regularly observed in the general population. However, it is important to detect acne early as the condition can worsen if not treated. For this purpose, deep-learning-based methods have been proposed to automate detection, but acquiring acne train...