2021/11玉山銀行雜誌專訪
2021/11玉山銀行雜誌專訪
We introduce the Feature Feedback-Based Pseudo-Label Learning (FF-PLL) framework,
which enhances acne grading accuracy through innovative techniques like iterative pseudo-label refinement and all-facial skin segmentation.
Our experiments show promising results, achieving high accuracy and sensitivity,
making FF-PLL a viable solution for standardized acne assessment in clinical settings.
We invite you to read our paper and share your thoughts!
門診異動公告:
03/22 (六)門診時段,本院休診。
不便之處,敬請見諒。