… of tightly connected glands. In this paper, a novel multi-scale fully convolutional network
with three class classification (TCC-MSFCN) is proposed to achieve gland segmentation. The …

… assessment is the segmentation of these glandular regions. In … -output convolutional neural
network for segmentation of glands … The fully convolutional network (FCN) for segmentation is …

… the proposed TANet. It is a deep multitask neural network and aims to enhance gland
segmentation by … Multi-scale fully convolutional network for gland segmentation using three-class …

… Leveraging the fully convolutional networks, it can take an image as input and output the
probability map directly with one single forward propagation. Hence, it’s very efficient when …

… In the gland segmentation subtask, a fully convolutional neural network (FCN) [20] model
is … We propose a new multichannel algorithm to achieve gland segmentation and gland …

… end, we develop a new unified convolutional neural network for learning end-to-end gland
… Inspired by the fully-convolutional networks in semantic image segmentation [38] and deep …

… the visual structure of glands, and how gland segmentation performed using CNN features
… In this paper we tackle the gland segmentation problem with a window-based classification …

… Gland segmentation The metric used for gland segmentation is Object Dice. Let G be a set
of pixels annotated as a ground truth object and S be a set of pixels of a segmented gland …

… an approach for gland segmentation in H&E stained histopathological images of colorectal
cancer based on deep convolutional neural networks and total variation segmentation. A …

… of these deep segmentation models is … network trained to encode geometric and topological
priors of containment and detachment. Our results on the segmentation of histology glands …