Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
Fig 5
The architecture of the CNNs used in the first stage of repeated CXR-specific pretraining.
I/P = Input, I-PCNN = truncated ImageNet-pretrained CNNs, ZP = Zero-padding, CONV = Extra convolution layer, GAP = Global Average Pooling, DO = Dropout, D = Final dense layer with Softmax activation.