COVID-19 CT Ground-Glass Opacity Segmentation Based on Attention Mechanism Threshold

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Introduction

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COVID-19 CT Ground-Glass Opacity Segmentation Based on Attention Mechanism Threshold

Yunbo Rao , Qingsong Lv , Shaoning Zeng∗ , Yuling Yi , Cheng Huang , Yun Gao , Zhanglin Cheng , Jihong Sun, 2022

What we are doing

• GGO Segmentation
• Lung cavity segmentation
• Provide a collated dataset of 311 slices

Preparation

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First of all, clone the code and prepare Matlab2020a software

git clone git@github.com:Lqs-github/ACL.git

and then Run ACL.m file.

Finally, you can see the GGO segmentation results for 311 slices and the GroundTrue.

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Other

If you want to see the result of the segmentation of the lung cavity, replace lines 245 - 253 in the ACL.m file with the following code.

subplot(141)
imshow(image);
title('Image')
subplot(142)
imshow(ill_image);
title('ACL')
subplot(143)
imshow(gt);
title('GroundTrue');
subplot(144)
imshow(lung);
title('Lung');