Deep visual detection system for oral squamous cell carcinoma

These results highlight the importance of model architecture and preprocessing in medical image classification tasks. The proposed Deep Visual Detection System (DVDS), built upon EfficientNetB3, demonstrates high reliability and robustness, suggesting strong potential for deployment in clinical settings to aid pathologists in rapid and consistent OSCC diagnosis. This approach could significantly streamline diagnostic workflows and support early intervention strategies, ultimately enhancing patient care.