SY-CNN+: Synthetic-Data-Enhanced Hybrid Learning for Clinical Photograph-Based Eyelid Tumor Classification
This study introduces SY-CNN+, a hybrid learning framework that leverages GAN-based synthetic data augmentation to achieve high accuracy in classifying malignant versus benign eyelid tumors from clinical photographs, outperforming human clinicians in an exploratory comparison while demonstrating robustness across retrospective and prospective cohorts.