Publications by authors named "Pakapoom Sukswai"
The accuracy of deep learning models for diagnosing maxillary fungal ball rhinosinusitis.
Eur Arch Otorhinolaryngol
December 2024
Article Synopsis
- The study evaluates deep learning models for diagnosing maxillary fungal ball rhinosinusitis (MFB) against a rhinologist's assessments, focusing on various performance metrics.
- A total of 1539 CT scans from chronic rhinosinusitis patients were analyzed using different models, with instance segmentation yielding better results than whole image analysis in accuracy and other metrics.
- The YOLOv8X-SEG model provided the highest accuracy and sensitivity, while the rhinologist's performance was comparable, suggesting that advanced deep learning techniques could assist in clinical diagnosis.