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RGFSAMNet: An interpretable COVID-19 detection and classification by using the deep residual network with global feature fusion and attention mechanism

2024-11-01

Abstract excerpt

Artificial intelligence has shown considerable promise in fields like medical imaging. Existing testing limitations necessitate reliable approaches for screening COVID-19 and measuring its adverse effects on the lungs. CT scans and chest X-ray images are vital in quantifying and accurately classifying COVID-19 infections. One significant advantage of deep learning models in medical image analysis for detection and...

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Literature Corpus work: 892ab474-2a1d-5aaf-80b1-96ce00a843ad
DOI: 10.1101/2024.10.30.24316451

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