Ke et al., 2023 - Google Patents
A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentationKe et al., 2023
- Document ID
- 462405089309376034
- Author
- Ke Z
- Xu X
- Zhou K
- Guo J
- Publication year
- Publication venue
- Applied Intelligence
External Links
Snippet
Automated and accurate airway segmentation from chest computed tomography (CT) images is essential to enable quantitative assessment of airway diseases and aid intra- operative navigation for pulmonary intervention surgery. Although deep learning-based …
- 230000011218 segmentation 0 title abstract description 116
Classifications
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- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
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- G—PHYSICS
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- G06T2207/10072—Tomographic images
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
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- G—PHYSICS
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
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- G—PHYSICS
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- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
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