Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation

Abstract

Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) images analysis due to its shape variation and vague boundary. The general hypothesis says that deep learning methods produce improved results on medical image