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Nov 6, 2023 · To solve these problems, we propose a novel multi-task dual boundary-aware network to improve the retinal layer segmentation performance in OCT ...
Nov 13, 2023 · ABSTRACT Layer segmentation of Optical Coherence Tomography (OCT) images is an important step in diagnosing retinal diseases.
Apr 13, 2024 · To solve these problems, we propose a novel multi-task dual boundary-aware network to improve the retinal layer segmentation performance in OCT ...
A novel multi-task dual boundary-aware network is proposed to improve the retinal layer segmentation performance in OCT images and achieves superior ...
Bibliographic details on Multi-Task Dual Boundary Aware Network for Retinal Layer Segmentation.
In this work, we design an HDB-Net network for retinal layer segmentation in diseased OCT images, which solves this problem by combining global and detailed ...
In this work, we proposed a boundary aware U-Net (BAU-Net) for retinal layers segmentation by detecting accurate boundary. Based on encoder-decoder architecture ...
This paper presents a novel U-Net model incorporating a hybrid attention mechanism for automating the segmentation of sub-retinal layers in Optical Coherence ...
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A multi-task symmetric network, called GDF-Net, is proposed for accurate retinal fundus image segmentation, which is composed by two symmetrical segmentation ...
Dec 26, 2023 · We propose a novel dual-path network that uses residual blocks as the encoders, and semantic path and boundary paths for layer segmentation and boundary ...