| A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields. | |
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MedLine Citation:
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PMID: 18334445 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this paper, a method is proposed for detecting blood vessels in pathological retina images. In the proposed method, blood vessel-like objects are extracted using the Laplacian operator and noisy objects are pruned according to the centerlines, which are detected using the normalized gradient vector field. The method has been tested with all the pathological retina images in the publicly available STARE database. Experiment results show that the method can avoid detecting false vessels in pathological regions and can produce reliable results for healthy regions. |
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Authors:
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Benson Y Lam; Hong Yan |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 27 ISSN: 0278-0062 ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2008 Feb |
Date Detail:
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Created Date: 2008-03-12 Completed Date: 2008-04-08 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 237-46 Citation Subset: IM |
Affiliation:
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Department of Electronic Engneering, City University of Hong Kong, Kowloon, Hong Kong. 50005347@student.cityu.edu.hk |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Cluster Analysis Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods Pattern Recognition, Automated / methods* Reproducibility of Results Retinal Diseases / pathology* Retinal Vessels / pathology* Retinoscopy / methods* Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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