Sep 30, 2023 · Precise segmentation of retinal vessels is crucial for the prevention and diagnosis of ophthalmic diseases. In recent years, deep learning ...

Sep 30, 2023 · A SLO image segmentation model based on lightweight U-Net architecture called MBRNet is proposed, which solves the problems in the current ...

This paper proposes a SLO image segmentation model based on lightweight U-Net architecture called MBRNet, which solves the problems in the current research ...

Multi-scale Bottleneck Residual Network for Retinal Vessel Segmentation. https://doi.org/10.1007/s10916-023-01992-7. Journal: Journal of Medical Systems, 2023 ...

This paper proposes a pixel-level retinal vessel segmentation network with multiple-dimension attention and adaptive feature fusion.

Nov 22, 2023 · In this paper, based on an encoder–decoder framework, a novel retinal vessel segmentation model called CMP-UNet is proposed.

This paper develops an end-to-end deep learning segmentation method called Contextual Multi-Scale Multi-Level Network (CMM-Net).

A novel convolutional neural network which make sufficient use of low-level features together with high- level features and involves atrous convolution to ...

Dec 9, 2024 · The generator is a multi-scale residual convolutional neural network with skip connection and up-sampling, while the discriminator is a vision ...

Multi-scale DEEP supervised module is introduced to make full use of the outputs of each layer of the decoder's network to improve the segmentation accuracy.