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MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT

  • Published:2020 Issue: Volume:8 Page:185786-185795
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Zheng BingbingORCID,Liu YaoqiORCID,Zhu YuORCID,Yu FuliORCID,Jiang TianjiaoORCID,Yang DaweiORCID,Xu TaoORCID

Funder

Qingdao City Science and Technology

Qingdao West Coast New District Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GIAE-Net: A gradient-intensity oriented model for multimodal lung tumor image fusion;Engineering Science and Technology, an International Journal;2024-06

2. Deep learning-based automatic segmentation of COVID-19 in chest X-ray images using ensemble neural net sentinel algorithm;Measurement: Sensors;2024-06

3. Segmenting and classifying lung diseases with M-Segnet and Hybrid Squeezenet-CNN architecture on CT images;PLOS ONE;2024-05-16

4. Deep Learning Analysis of COVID-19 Lung Infections in CT Scans;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

5. MLWF-Net: Multiple lung windows based fusion network for segmentation of small infected areas in COVID-19 CT slices;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08
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