Table 1.

The proposed model of CNN (convolutional neural network).

Layer Name	Kernel Size	Feature Map
Input layer	(256 × 256)
Conv1	(3 × 3)	(256 × 256 × 16)
Max. Pooling1	(2 × 2)	(128 × 128 × 16)
Conv2	(5 × 5)	(128 × 128 × 32)
Max. Pooling2	(2 × 2)	(64 × 64 × 32)
Conv3	(5 × 5)	(64 × 64 × 64)
Max. Pooling3	(2 × 2)	(32 × 32 × 64)
Conv4	(7 × 7)	(32 × 32 × 128)
FC	(1 × 3)	(1 × 3)