Zhao et al., 2016 - Google Patents
An automated pulmonary parenchyma segmentation method based on an improved region growing algorithmin PET-CT imagingZhao et al., 2016
- Document ID
- 7390134427015952392
- Author
- Zhao J
- Ji G
- Han X
- Qiang Y
- Liao X
- Publication year
- Publication venue
- Frontiers of Computer Science
External Links
Snippet
To address the incomplete problem in pulmonary parenchyma segmentation based on the traditional methods, a novel automated segmentation method based on an eight-neighbor region growing algorithm with left-right scanning and four-corner rotating and scanning is …
- 230000011218 segmentation 0 title abstract description 78
Classifications
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- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/10081—Computed x-ray tomography [CT]
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30061—Lung
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- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
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- G—PHYSICS
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- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20156—Automatic seed setting
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
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