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. 2022 Feb 11;34(3):101898. doi: 10.1016/j.jksus.2022.101898

Table 3.

Performance analysis for the proposed uni-step diagnostic system using ConvLSTM DLM on different sub-datasets.

Category Original images
AWGN corrupted images
Blurred images
S&P noisy images
Denoised images
COVID-19 Normal Pneumonia COVID-19 Normal Pneumonia COVID-19 Normal Pneumonia COVID-19 Normal Pneumonia COVID-19 Normal Pneumonia
COVID-19 0.94 0.03 0.03 0.89 0.04 0.07 0.87 0 0.13 0.89 0.02 0.09 0.92 0.01 0.07
Normal 0.01 0.99 0 0 0.99 0.01 0 1 0 0 1 0 0 1 0
Pneumonia 0.01 0 0.99 0.15 0 0.85 0.03 0 0.97 0.2 0.02 0.79 0.04 0 0.96
Accuracy 96.8 % 90.9 % 94.6 % 89.9 % 96.8 %
Testing time 8.6 Sec. 7.3 Sec. 8.9 Sec. 8.1 Sec. 8.6 Sec.