Glaucoma Detection Using Image Processing and Supervised Learning for Classification

Table 2

ConvNet configuration of ResNet-50

Layer name	ResNet-50	Output size
Conv 1	7 × 7, 64, stride 2	112 × 112
Conv 2	3 × 3 max pool, stride 2	56 × 56
	× 3
Conv 3	× 4	28 × 28
Conv 4	× 6	14 × 14
Conv 5	× 3	7 × 7
Final	Average pool	1 × 1
	1,000, Fully connected
	Softmax