Code for Cross-Dataset Generalization in Otoscopic Image Classification Using Swin Transformer

This repository contains the code used in the study: "Cross-Dataset Generalization in Otoscopic Image Classification Using Swin Transformer" The repository includes: - Swin Transformer Tiny model implementation- Training and validation procedures- Cross-dataset evaluation pipeline The datasets used in this study are publicly available from their original sources, including Kaggle, Türkiye, and Chile otoscopic image datasets. Due to licensing restrictions, the datasets are not redistributed. This code is provided to support reproducibility and transparency of the proposed methodology.