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. 2020 Dec 1;6(12):131. doi: 10.3390/jimaging6120131

Table 9.

Summary of the works surveyed based on the taxonomy.

Attributes Subattributes References
Image types X-Ray [4,12,14,15,19,20,21,24,36,38,55,57,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,91,92,93,94,95,96,97,98,99,100,101,102,103,109,113,114,117,119,120,121,122,123,124,125,126,127,128,129,131,132,134,139,140,141]
CT Scans [13,23,25,26,86,87,88,105,106,107,108,110,111,112,118,130,133,135,137,138,139]
Sputum Smear Microscopy Images [28,29,30,31,32]
Histopathology images [34]
Features Extracted from CNN [4,12,13,14,15,19,20,21,23,24,25,26,30,32,34,55,57,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,91,92,93,94,95,96,97,98,99,100,101,102,103,105,106,107,108,109,110,111,112,113,114,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,137,138,139,140,141]
Others [12,15,26,28,29,31,36,38,61,62,64,71,81,83,86,88,105,135]
Data augmentation Yes [4,20,21,23,26,55,57,63,66,70,73,74,77,79,92,96,97,98,100,102,106,109,110,111,114,122,125,126,128,129,131,132,139]
Types of deep learning algorithm CNN [4,12,13,14,15,19,20,21,23,24,25,26,28,29,30,32,34,55,57,60,61,62,63,64,65,66,67,68,69,72,74,76,77,78,79,80,81,82,84,85,86,91,92,93,94,95,96,97,98,99,100,101,102,103,105,106,107,108,109,110,111,112,113,114,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,137,138,139,140,141]
Non-CNN [19,26,31,36,38,83,88,105,135]
Transfer learning Fixed feature extractor [12,15,19,21,62,70,76,78,80,81,93,94,96,100,102,117,127,128,137]
Fine-tuning CNN [4,20,26,32,34,55,57,71,72,73,74,76,77,79,82,95,97,98,102,109,110,111,112,113,118,119,120,121,122,123,124,125,129,131,132,134,141]
Ensemble Majority voting [19,55,82,129]
Probability score averaging [15,57,71,79,81,82,98,102,133]
Stacking [12,82,134]
Other [80]
Disease types Tuberculosis [12,15,19,24,28,29,30,31,32,36,38,57,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88]
Pneumonia [20,55,91,92,93,94,95,96,97,98,99,100,101,102,103]
Lung cancer [13,14,23,25,34,105,106,107,108,109,110,111,112,113,114]
COVID-19 [4,21,26,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,137,138,139,140,141]