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

Introduction

Fig2_flow_chart

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

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.

GGO

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.

lung

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');