Automatic liver segmentation method in CT images
Oussema zayane, besma jouini, Mohamed Ali Mahjoub
TL;DR
This paper proposes an automatic liver segmentation method in CT images utilizing prior knowledge of liver location and shape to improve accuracy and efficiency.
Contribution
It introduces a novel approach that leverages prior anatomical knowledge for automatic liver segmentation in CT scans.
Findings
Achieved high segmentation accuracy on test datasets
Reduced manual intervention in liver segmentation
Demonstrated robustness across different CT images
Abstract
The aim of this work is to develop a method for automatic segmentation of the liver based on a priori knowledge of the image, such as location and shape of the liver.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Radiomics and Machine Learning in Medical Imaging · AI in cancer detection