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Automatic heart and...
Automatic heart and vessel segmentation using random forests and a local phase guided level set method
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- Wang, Chunliang (författare)
- KTH,Skolan för teknik och hälsa (STH)
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Wang, Q. (författare)
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- Smedby, Örjan, 1956- (författare)
- KTH,Medicinsk bildbehandling och visualisering
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(creator_code:org_t)
- 2017-01-19
- 2017
- Engelska.
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Ingår i: Reconstruction, Segmentation, and Analysis Of Medical Images. - Cham : Springer Verlag. - 9783319522791 ; , s. 159-164
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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visa färre...
Abstract
Ämnesord
Stäng
- In this report, a novel automatic heart and vessel segmentation method is proposed. The heart segmentation pipeline consists of three major steps: heart localization using landmark detection, heart isolation using statistical shape model and myocardium segmentation using learning based voxel classification and local phase analysis. In our preliminary test, the proposed method achieved encouraging results.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Coherent propagation
- Image segmentation
- Level set
- Local phase analysis
- Shape model
- Computer aided analysis
- Decision trees
- Heart
- Image analysis
- Image processing
- Image reconstruction
- Magnetic resonance imaging
- Medical imaging
- Numerical methods
- Local phase
- Myocardium segmentation
- Statistical shape model
- Vessel segmentation
- Voxel classifications
- Medical image processing
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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