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Table 1 Details of each convolutional layer of feature extraction module

From: Hahn-PCNN-CNN: an end-to-end multi-modal brain medical image fusion framework useful for clinical diagnosis

Layer

Setting

Kernel number

Convolution kernel

Stride

Padding

CONV 1

64

\(7 \times 7\)

1

3

CONV 2

64

\(5 \times 5\)

1

2

CONV 3

64

\(3 \times 3\)

1

1