A Lightweight Lung Region Image Segmentation Model with Attention Mechanisms

Author:

Cai Furong1ORCID,Hao Yingguang1ORCID,Wang Hongyu1ORCID

Affiliation:

1. School of Information and Communication Engineering, Dalian University of Technology, China

Publisher

ACM

Reference18 articles.

1. The integration of attention mechanism and dense atrous convolution for lung image segmentation. [J];Journal of Image and Graphics

2. Combining 2D wavelet edge highlighting and 3D thresholding for lung segmentation in thin-slice CT

3. Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT[J];Hou J;Computerized Medical Imaging and Graphics,2015

4. Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends

5. Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images[C]//International Conference on Medical Image Computing and Computer-assisted Intervention. Springer;Harrison A P;Cham

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