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Fig. 2 | BMC Systems Biology

Fig. 2

From: Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images

Fig. 2

Architecture of our network. Part (a) shows the main structure of our network. In the feature extract network, each color box stands for a conv layer, and the conv layers are divided into 5 different stages in different colors. Furtherly, each stage is connected to a features fusing layer. After that, an up-sampling structure is used to de-convolute the extracted features to the initial size. Part (b) and (c) separately show the up-sampling structure of the RCF network and ours

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