Before revision:  To reduce the burden of manual refinement of segmentations, we have developed a new and powerful deep learning segmentation method that exploits new deep attentive modules with mixed kernel convolutions within a fully convolutional neural network architecture that utilizes deep supervision and residual connections.
After revision:  To reduce the burden of manual refinement of segmentations, we have developed a new and powerful deep learning segmentation method . Our method exploits new deep attentive modules with mixed kernel convolutions within a fully convolutional neural network architecture that utilizes deep supervision and residual connections.