Cropping is required owing to border pixel loss during convolution The number of trainable parameters is 31.03 M CardioNet 16 convolutional layers (3 × 3) 6 depth-wise separable convolutions are involved in reducing the number of trainable parameters Dense skip paths are used. Each block has ...