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Colorectal cancer (CRC) remains one of the main cancer-related causes of death worldwide, and colonoscopy is an effective method for early identification of CRC and substantially reducing the risk. Colonoscopy images are often affected by non-uniform illumination and low-light conditions, which make it difficult to vis...
Results show that the proposed framework provides a good trade-off between classification performance, computational requirements and interpretability and shows potential for automated OCT-based retinal disease screening support.
Accurate classification of retinal diseases from optical coherence tomography (OCT) images is important for clinical decision support. However, many studies in deep learning put the primary focus on enhancing accuracy and often provide limited attention to calibration and robustness under real-world variations. This wo...
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