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Wang et al., 2019 - Google Patents

Context-aware spatio-recurrent curvilinear structure segmentation

Wang et al., 2019

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Document ID
1819490054692000391
Author
Wang F
Gu Y
Liu W
Yu Y
He S
Pan J
Publication year
Publication venue
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

External Links

Snippet

Curvilinear structures are frequently observed in various images in different forms, such as blood vessels or neuronal boundaries in biomedical images. In this paper, we propose a novel curvilinear structure segmentation approach using context-aware spatio-recurrent …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

Classifications

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    • G06K9/6267Classification techniques
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
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    • GPHYSICS
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    • G06T2207/20112Image segmentation details
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
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