Gated Channel Attention Network for Cataract Classification on AS-OCT ...
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Dec 5, 2021 · This paper proposes a gated channel attention network (GCA-Net) to classify NC severity levels automatically.
Dec 8, 2021 · This paper proposes a gated channel attention network (GCA-Net) to classify NC severity levels automatically.
Clinical studies have shown that there is a significant correlation between the pixel density of the lens region on AS-OCT images and NC severity levels; ...
We use a clinical AS-OCT image dataset to demonstrate the effectiveness of our GCA-Net. The results showed that the proposed GCA-Net achieves 94.3% in accuracy ...
Gated Channel Attention Network for Cataract Classification on AS-OCT Image ... network for nuclear cataract classification based on anterior segment OCT images.
Nuclear cataract (NC) is the leading cause of blindness and vision impairment globally. Accurate NC classification is significant for clinical NC diagnosis.
This paper presents a novel mixed pyramid attention network (MPANet) to classify NC severity levels on AS-OCT images automatically. ... We conduct extensive ...
A global–local attention network (GLA-Net) is proposed to handle the cataract classification task, which consists of two levels of subnets.
Missing: OCT | Show results with:OCT
We construct an RCRNet for automatic cataract recognition based on AS-OCT images by stacking a sequence of RCR modules. The results on two AS-OCT datasets of NC ...
Sep 16, 2022 · In this paper, we present an effective NC classification framework on AS-OCT images, based on feature extraction and feature importance analysis.