Refined contour of the liver after semi-automatic extraction of

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Reliability and accuracy of straightforward measurements for liver volume determination in ultrasound and computed tomography compared to real volumetry

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Automatic Liver Segmentation on Volumetric CT Images Using Supervoxel-Based Graph Cuts

Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions - ScienceDirect

Jens-Peter KÜHN, Doctor of Medicine, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Division of Diagnostic Radiology

Iterative results of liver probability map produced by Ga-CNN model on

Sebastian HOBERÜCK, Facharzt / Consultant, Doctor of Medicine, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Klinik und Poliklinik für Nuklearmedizin

Semi-automatic liver segmentation based on probabilistic models and anatomical constraints

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Marie-Luise KROMREY, Medical Doctor, Researcher, Institute of Diagnostic Radiology and Neuroradiology

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

Example of the liver segmentation: (a) original image; (b) initial seed

PDF) Reliability and accuracy of straightforward measurements for liver volume determination in ultrasound and computed tomography compared to real volumetry

Marie-Luise KROMREY, Medical Doctor, Researcher, Institute of Diagnostic Radiology and Neuroradiology

Semi-automatic liver segmentation based on probabilistic models and anatomical constraints

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