Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images-Reference-Cited by-同舟云学术

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Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

Published:2024 Issue:2 Volume:138 Page:1981-2004
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:CMES

Author:

Basha Shaik Mahaboob,Albuquerque Victor Hugo C. de,Chelloug Samia Allaoua,Elaziz Mohamed Abd,Mohisin Shaik Hashmitha,Pathan Suhail Parvaze

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v138n2/54628/pdf

Cited by 3 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. Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search optimization process on chest X-ray images;Biomedical Signal Processing and Control;2024-07

2. Optimizing Lung Opacity Classification in Chest X-ray Images through Transfer Learning on VGG19 CNN Model;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03

3. Lung Opacity Classification in Chest X-Ray Images with a DenseNet201 Transfer Learning-Based Pre-Trained Convolutional Neural Network Model;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

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