Explainable hybrid CNN-transformer with self-supervised learning for structural analysis of paranasal sinus CT
Tariq Sadad
IntroductionThe process of precise structural evaluation for paranasal sinuses based on CT scan data establishes a foundation for medical professionals to assess human anatomical variations, supporting the diagnosis and treatment of ear, nose, and throat (ENT) conditions. Existing deep learning methods face difficulties in analyzing complex sinus structures due to limited annotated datasets and lack of clinical interpretability.MethodsThis study presents an explainable hybrid CNN-Transformer fra