Yao et al., 2004 - Google Patents
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable modelsYao et al., 2004
View PDF- Document ID
- 12175395446214674090
- Author
- Yao J
- Miller M
- Franaszek M
- Summers R
- Publication year
- Publication venue
- IEEE Transactions on Medical Imaging
External Links
Snippet
An automatic method to segment colonic polyps in computed tomography (CT) colonography is presented in this paper. The method is based on a combination of knowledge-guided intensity adjustment, fuzzy c-mean clustering, and deformable models …
- 230000011218 segmentation 0 title abstract description 121
Classifications
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- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
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- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20112—Image segmentation details
- G06T2207/20156—Automatic seed setting
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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