COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm-Reference-Cited by-同舟云学术

COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm

Published:2023-01 Issue: Volume:79 Page:104159
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Guowei,Guo Shuli,Han Lina,Zhao Zhilei,Song Xiaowei

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference42 articles.

1. Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO;Wang;Biomed. Signal Process. Control,2022

2. Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images;Houssein;Neural Comput. Appl.,2021

3. Two-dimensional reciprocal cross entropy multi-threshold combined with improved firefly algorithm for lung parenchyma segmentation of COVID-19 CT image;Wang;Biomed. Signal Process. Control,2022

4. A fully automated deep learning-based network for detecting COVID-19 from a new and large lung CT scan dataset;Rahimzadeh;Biomed Signal Proc,. Control,2020

5. A novel deep learning based method for COVID-19 detection from CT image;JavadiMoghaddam;Biomed. Signal Process. Control,2021

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