A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9607382/9607383/09607676.pdf?arnumber=9607676
Cited by 6 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. Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16
2. Challenges of deep learning diagnosis for COVID-19 from chest imaging;Multimedia Tools and Applications;2023-07-10
3. Sparse-Attention Based Deep Convolutional Neural Network for Pneumonia Detection;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
4. COVID-19 radiograph prognosis using a deep CResNeXt network;Multimedia Tools and Applications;2023-03-08
5. A COVID-19 X-ray image classification model based on an enhanced convolutional neural network and hill climbing algorithms;Multimedia Tools and Applications;2022-09-27
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