DeepCSFusion: Deep Compressive Sensing Fusion for Efficient COVID-19 Classification
This study demonstrates that the proposed DeepCSFusion reduced the computational time with an overall accuracy of 99.3%. Also, it outperforms state-of-the-art pipelines in terms of various classification measures.
Source: Journal of Digital Imaging - Category: Radiology Source Type: research
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