Automatic liver segmentation on volumetric CT images using supervoxel-based graph cuts

DOI10.1155/2016/9093721zbMath1348.92104OpenAlexW2321272510WikidataQ36809792 ScholiaQ36809792MaRDI QIDQ332957

Mohammad Hasan, M. Dambrine

Publication date: 9 November 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/9093721

zbMATH Keywords

abdominal CT scansautomatic liver segmentationmaximum intensity projectionsimple linear iterative clusteringsupervoxel-based graph cuts

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Uses Software

• MAXFLOW
• GrabCut
• k-means++

Cites Work

• Liver segmentation based on snakes model and improved growcut algorithm in abdominal CT image
• A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans
• Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images

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