Refined contour of the liver after semi-automatic extraction of
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Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT images
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions - ScienceDirect
Semi-automatic segmentation results: 2D views of segmentation results
Reliability and accuracy of straightforward measurements for liver volume determination in ultrasound and computed tomography compared to real volumetry
Contour of the liver segmentation (in red) compared to the original CT
Sd-net: a semi-supervised double-cooperative network for liver segmentation from computed tomography (CT) images
A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images - Gong - 2022 - Journal of Applied Clinical Medical Physics - Wiley Online Library
Jens-Peter KÜHN, Doctor of Medicine, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Division of Diagnostic Radiology
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PDF) Reliability and accuracy of straightforward measurements for liver volume determination in ultrasound and computed tomography compared to real volumetry
Liver segmentation using Mnet for cirrhosis - ScienceDirect
PDF) Reliability and accuracy of straightforward measurements for liver volume determination in ultrasound and computed tomography compared to real volumetry
Visualisation of the liver, major blood vessels with respect to the