Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections.
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 c...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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2002
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| _version_ | 1797081688425103360 |
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| author | Loukas, C Wilson, G Vojnovic, B Linney, A |
| author_facet | Loukas, C Wilson, G Vojnovic, B Linney, A |
| author_sort | Loukas, C |
| collection | OXFORD |
| description | 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 contains a significant number of misclassified pixels, the user has the option to apply a series of specific problem-designed routines (texture analysis, fuzzy c-means clustering, and edge detection) in order to improve the final segmentation result. Validation experiments indicate that the algorithm can robustly detect these biological features, even in tissue sections with a very low quality of staining. This approach has also been combined with other image analysis based procedures in order to objectively obtain quantitative measurements of potential clinical interest. |
| first_indexed | 2024-03-07T01:17:29Z |
| format | Journal article |
| id | oxford-uuid:8f2f75a1-876b-4c83-95bf-b9360ab22bab |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:17:29Z |
| publishDate | 2002 |
| record_format | dspace |
| spelling | oxford-uuid:8f2f75a1-876b-4c83-95bf-b9360ab22bab2022-03-26T23:02:39ZTumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8f2f75a1-876b-4c83-95bf-b9360ab22babEnglishSymplectic Elements at Oxford2002Loukas, CWilson, GVojnovic, BLinney, AWe 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 contains a significant number of misclassified pixels, the user has the option to apply a series of specific problem-designed routines (texture analysis, fuzzy c-means clustering, and edge detection) in order to improve the final segmentation result. Validation experiments indicate that the algorithm can robustly detect these biological features, even in tissue sections with a very low quality of staining. This approach has also been combined with other image analysis based procedures in order to objectively obtain quantitative measurements of potential clinical interest. |
| spellingShingle | Loukas, C Wilson, G Vojnovic, B Linney, A Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title | Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title_full | Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title_fullStr | Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title_full_unstemmed | Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title_short | Tumor hypoxia and blood vessel detection: an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections. |
| title_sort | tumor hypoxia and blood vessel detection an image analysis technique for simultaneous tumor hypoxia grading and blood vessel detection in tissue sections |
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