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Table 2 Configurations designed and tested for the CNN in the ROI detector

From: A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Network ID

Number of layers per encoder

Number of convolutional filters per layer

Learner

R-CNN-1

[3 3]

[32 32]

SGDM

R-CNN-2

[1 1]

[16 32]

SGDM

R-CNN-3

[3 3]

[64 32]

SGDM

  1. Each layer is a sequence of a convolutional layer, and a ReLu layer