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

Abstract

The results of our experiments show that our advanced model works better than previous networks in our dataset. On the other words, it has better ability in catching detailed contexture information. Therefore, our new single object segmentation model has practical meaning in computational automatic diagnosis.