Refined contour of the liver after semi-automatic extraction of the
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Advantages and disadvantages of the presented methods for liver
Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images
Tiny error regions (misclassified regions) on the left. Refined the
Jens-Peter KÜHN, Doctor of Medicine
Till ITTERMANN, University of Greifswald, Greifswald
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++, BMC Cancer
Semi-automatic liver segmentation based on probabilistic models and anatomical constraints
PDF) Reliability and accuracy of straightforward measurements for
Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions - ScienceDirect
Dieter FEDDERS, Head of Department
Main steps of the semiautomatic segmentation method. The detection and
