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