Table 2 Details of architecture
From: A convolutional neural network-based system to classify patients using FDG PET/CT examinations
Layer | Filter Size | Stride | Repeat count | Output Size |
|---|---|---|---|---|
Input | (224, 224, 3) | |||
Convolutional | (7, 7) | (2, 2) | 1 | (112, 112, 64) |
Max pooling | (3, 3) | (2, 2) | 1 | (56, 56, 64) |
Residual 1 | (3 × 3, 64) (3 × 3, 64) | (1, 1) | 3 | (56, 56, 64) |
Residual 2 | (3 × 3, 128) (3 × 3, 128) | (2, 2) | 4 | (28, 28, 128) |
Residual 3 | (3 × 3, 256) (3 × 3, 256) | (2, 2) | 6 | (14, 14, 256) |
Residual 4 | (3 × 3, 512) (3 × 3, 512) | (2, 2) | 3 | (7, 7, 512) |
Average pooling | (7, 7) | (1, 1) | 1 | (1, 1, 1024) |
Fully connected | (3) |