Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
pooling while also using the batch normalization to avoid the covariance shift problem. Finally, the concatenated feature maps undergo 1 × 1 convolution. Following from the inception convolution layers, the residual inception convolution block is developed by applying double inception convolution