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LOCAL PHASE APPROACHES TO EXTRACT BIOMEDICAL NETWORKS

Abstract:

Many biomedical applications require detection of curvilinear networks in images, and would benefit from automatic or semiautomatic segmentation to allow high-throughput measurements. Here we discuss a contrast independent approach to identify curvilinear structures based on oriented phase congruency, the Phase Congruency Tensor. We show that the proposed approach is largely insensitive to intensity variations along the curve, and provides successful detection within noisy regions. Moreover, ...

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Publication status:
Published

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Publisher copy:
10.1109/ISBI.2012.6235931

Authors


Fricker, M More by this author
Journal:
2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Pages:
1796-1799
Publication date:
2012
DOI:
EISSN:
1945-8452
ISSN:
1945-7928
URN:
uuid:ffd6ddbc-da4a-484a-bd71-968ffe85c236
Source identifiers:
348818
Local pid:
pubs:348818

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