. Author manuscript; available in PMC: 2020 Sep 28.

Published in final edited form as: IEEE Access. 2020 Mar 23;8:63482–63496. doi: 10.1109/access.2020.2982390

TABLE I.

Parameters for Multi Prong Convolutional Neural Network Algorithm

Parameter	Prong CNN
Convolution layer: size, stride, padding	3×3, l×l, zero padding
Max pooling: size, stride, padding	2×2, 2×2, no zero padding
Dropout	0.5
Dilation rate	2^{(Dilation layer)}
Optimizer, learning rate	Adam.0.5^{(stage×l0^−4)}
Loss function	Negative mean Dice coefficient
Kernel initializer	LeCun uniform
Kernel regularizer	L2 (0.000075)
Activation function	Leaky rectified linear unit
Image size	320×320