3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Abstract

Automatic liver segmentation from CT volumes is a crucial prerequisite yet challenging task for computer-aided hepatic disease diagnosis and treatment. In this paper, we present a novel 3D deeply supervised network (3D DSN) to address this challenging task. The proposed 3D DSN takes advantage of a fully convolutional architecture which performs efficient… (More)
DOI: 10.1007/978-3-319-46723-8_18

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