Table 3.
CDC_Net Model Summary
| No. of Layers | Layers | Shape | Parameters |
|---|---|---|---|
| 0 | chest_input_1 (InputImage) | (299, 299, 3) | 0 |
| 1 | block1_conv1 (Conv2D) | (297, 297, 64) | 1882 |
| 2 | block1_conv1 (Conv2D) | (295, 295, 64) | 37,828 |
| 3 | block1_pool1 (MaxPooling2D) | (147, 147, 64) | 0 |
| 4 | dropout_1 (Dropout) | (147, 147, 64) | 0 |
| 5 | block2_conv2 (Conv2D) | (145, 145, 128) | 74,956 |
| 6 | block2_conv2 (Conv2D) | (143, 143, 128) | 158,584 |
| 7 | block2_pool2 (MaxPooling2D) | (71, 71, 128) | 0 |
| 8 | dropout_2 (Dropout) | (71, 71, 128) | 0 |
| 9 | block3_conv3 (Conv2D) | (69, 69, 256) | 306,278 |
| 10 | block3_conv3 (Conv2D) | (67, 67, 256) | 600,080 |
| 11 | block3_pool3 (MaxPooling2D) | (33, 33, 256) | 0 |
| 12 | dropout_3 (Dropout) | (33, 33, 256) | 0 |
| 13 | block4_conv4 (Conv2D) | (31, 31, 512) | 1,191,160 |
| 14 | block4_conv4 (Conv2D) | (29, 29, 512) | 2,359,809 |
| 15 | block4_conv4 (Conv2D) | (27, 27, 512) | 2,469,809 |
| 16 | block4_pool4 (MaxPooling2D) | (13, 13, 512) | 0 |
| 17 | dropout_4 (Dropout) | (13, 13, 512) | 0 |
| 18 | reshape_layer (ReshapeLayer) | (13,13,32) | 9349 |
| 19 | residual_layer1 (Conv2D) | (11, 11, 128) | 9349 |
| 20 | residual_layer2 (Conv2D) | (9, 9, 128) | 9549 |
| 21 | dilated_conv1 (Conv2D) | (7, 7, 256) | 18,496 |
| 22 | dilated_conv2 (Conv2D) | (5, 5, 128) | 20,596 |
| 23 | dilated_conv2 (BatchNormalization) | (5, 5, 128) | 22,846 |
| 24 | dilated_pool5 (MaxPooling2D) | (2,2128) | 0 |
| 25 | dropout_5 (Dropout) | (2,2128) | 0 |
| 26 | flatten_1 (Flatten) | 64 | 0 |
| 27 | dense_1 (Dense) | 512 | 34,390 |
| 28 | dropout_6 (Dropout) | 512 | 0 |
| 29 | dense_2 (Dense) | 6 | 1127 |