We propose a Multi-resolution Contextual Network (MRC-Net) that addresses these issues by extracting multi-scale features to learn contextual dependencies.
Apr 25, 2023 · We propose a Multi-resolution Contextual Network (MRC-Net) that addresses these issues by extracting multi-scale features to learn contextual dependencies.
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What is retinal vessel segmentation?
Another key idea is training in adversarial settings for foreground segmentation improvement through optimization of the region-based scores. This novel ...
Apr 26, 2023 · Another key idea is training in adversarial settings for foreground segmentation improvement through optimization of the region-based scores.
May 8, 2024 · Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. T. M. Khan, S. Naqvi, A. Robles-Kelly, Imran ...
In this work, we present a lightweight retinal vessel segmentation network based on the encoder-decoder mechanism with region-guided attention. Paper
Jul 2, 2024 · This paper introduces LMBiS-Net, a lightweight convolutional neural network designed for the segmentation of retinal vessels.
A novel and lightweight deep learning model called Vessel-Net for retinal vessel segmentation, which designs an efficient inception-residual convolutional ...
Aug 21, 2024 · ConvLSTM layers are designed to handle spatial and temporal dependencies in data, making them suitable for tasks that require contextual ...
Apr 10, 2024 · Retinal vessel segmentation aids ophthalmologists in diagnosing issues by revealing the vascular features in fundus images, facilitating the ...