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Yugen Yi

2 accepted papers

2021

Channel Attention Residual U-Net for Retinal Vessel Segmentation

ICASSP 2021accepted

Retinal vessel segmentation is a vital step for the diagnosis of many early eye-related diseases. In this work, we propose a new deep learning model, namely Channel Attention Residual U-Net (CAR-UNet), to accurately segment retinal vascular and non-vascular pixels. In this model, we introduced a nov…

Cited by 0SourceScholar
2020

Dense Residual Network for Retinal Vessel Segmentation

ICASSP 2020accepted

Retinal vessel segmentation plays an imaportant role in the field of retinal image analysis because changes in retinal vascular structure can aid in the diagnosis of diseases such as hypertension and diabetes. In recent research, numerous successful segmentation methods for fundus images have been p…

Cited by 0SourceScholar