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Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections.

Abstract:

We have developed a multistage image analysis technique for the simultaneous segmentation of blood vessels and hypoxic regions in dual-stained tumor tissue sections. The algorithm, which is integrated in a task-oriented image analysis system developed on-site, initially uses the K-nearest neighbor classification rule in order to label the image pixels. Classification is based on a training set selected from manually drawn regions corresponding to the areas of interest. If the output image con...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MSD
Department:
Oncology
Role:
Author
Journal:
Annals of the New York Academy of Sciences More from this journal
Volume:
980
Pages:
125-138
Publication date:
2002-12-01
DOI:
EISSN:
1749-6632
ISSN:
0077-8923
Language:
English
Keywords:
Pubs id:
pubs:130952
UUID:
uuid:8f2f75a1-876b-4c83-95bf-b9360ab22bab
Local pid:
pubs:130952
Source identifiers:
130952
Deposit date:
2013-11-17

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