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Asaturyan et al., 2018 - Google Patents

Hierarchical framework for automatic pancreas segmentation in MRI using continuous max-flow and min-cuts approach

Asaturyan et al., 2018

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Document ID
16878412184017385758
Author
Asaturyan H
Villarini B
Publication year
Publication venue
Image Analysis and Recognition: 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27–29, 2018, Proceedings 15

External Links

Snippet

Accurate, automatic and robust segmentation of the pancreas in medical image scans remains a challenging but important prerequisite for computer-aided diagnosis (CADx). This paper presents a tool for automatic pancreas segmentation in magnetic resonance imaging …
Continue reading at westminsterresearch.westminster.ac.uk (PDF) (other versions)

Classifications

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    • G06T2207/30004Biomedical image processing
    • GPHYSICS
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    • G06T2207/10088Magnetic resonance imaging [MRI]
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10104Positron emission tomography [PET]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
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    • GPHYSICS
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