Research Article

Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches

Table 1

VGG19 model for the proposed scheme.

Layer (type)Output shapeParameters number

Input_1 (inputLayer)(None, 224, 224, 3)0
Block1_conv1 (conv2D)(None, 224, 224, 64)1792
Block1_conv2 (conv2D)(None, 224, 224, 64)36928
Block1_pool (maxPooling2D)(None, 112, 112, 64)0
Block2_conv1 (conv2D)(None, 112, 112, 128)73856
Block2_conv2 (conv2D)(None, 112, 112, 128)147584
Block2_pool (maxPooling2D)(None, 56, 56, 128)0
Block3_conv1 (conv2D)(None, 56, 56, 256)295168
Block3_conv2 (conv2D)(None, 56, 56, 256)590080
Block3_conv3 (conv2D)(None, 56, 56, 256)590080
Block3_conv4 (conv2D)(None, 56, 56, 256)590080
Block3_pool (maxPooling2D)(None, 28, 28, 256)0
Block4_conv1 (conv2D)(None, 28, 28, 512)1180160
Block4_conv2 (conv2D)(None, 28, 28, 512)2359808
Block4_conv3 (conv2D)(None, 28, 28, 512)2359808
Block4_conv4 (conv2D)(None, 28, 28, 512)2359808
Block4_pool (maxPooling2D)(None, 14, 14, 512)0
Block5_conv1 (conv2D)(None, 14, 14, 512)2359808
Block5_conv2 (conv2D)(None, 14, 14, 512)2359808
Block5_conv3 (conv2D)(None, 14, 14, 512)2359808
Block5_conv4 (conv2D)(None, 14, 14, 512)2359808
Block5_pool (maxPooling2D)(None, 7, 7, 512)0
Flatten (flatten)(None, 25088)0
Fc1 (dense)(None, 4096)102764544
Dropout (dropout)(None, 4096)0
Fc2 (dense)(None, 4096)16781312
Dropout_1 (dropout)(None, 4096)0
Fc3 (dense)(None, 8192)33562624
Dropout_2 (dropout)(None, 8192)0
Fc4 (dense)(None, 8192)67117056
Dropout_3 (dropout)(None, 8192)0
Fc5 (dense)(None, 8192)67117056
Dropout_4 (dropout)(None, 8192)0
Fc6 (dense)(None, 16384)134234112
Dropout_5 (dropout)(None, 16384)0
Dense_class_2 (dense)(None, 2)32770