Noise-aware dynamic convolution for improved generalizability of retinal disease diagnosis using optical coherence tomography images
Abstract. Significance Optical coherence tomography (OCT) is widely used for the diagnosis of retinal diseases. However, deep learning models trained on a single dataset often degrade when deployed across scanners and clinical sites due to device-dependent speckle variability and acquisition differences, limiting their...