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Method for Accurate Unsupervised Cell Nucleus Segmentation
Bamford, Pascal and Lovell, Brian C. (2001). Method for Accurate Unsupervised Cell Nucleus Segmentation. In: M. Akay, Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology, Istanbul, Turkey, (1-5). 25-28 October, 2001.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
n748.pdf
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n748.pdf |
application/pdf |
407.82KB |
782 |
| Author(s) |
Bamford, Pascal
Lovell, Brian C.
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| Title of paper |
Method for Accurate Unsupervised Cell Nucleus Segmentation
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| Conference name |
IEEE Engineering in Medicine and Biology
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| Conference location |
Istanbul, Turkey
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| Conference dates |
25-28 October, 2001
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| Proceedings title |
Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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| Editor(s) |
M. Akay
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| Place published |
Piscataway, New Jersey
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| Publisher |
IEEE
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| Publication date |
2001
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| Volume number |
1
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| ISBN |
0-7803-7213-1
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| Start page |
1
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| End page |
5
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| Total pages |
5
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| Collection year |
2001
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| Language |
eng
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| Abstract/Summary |
To achieve the extreme accuracy rates demanded by applications in unsupervised automated cytology, it is frequently necessary to supplement the primary segmentation algorithm with a segmentation quality control system. The more robust the segmentation strategy, the less severe the data pruning need be at the segmentation validation stage. These issues are addressed as we describe our cell nucleus segmentation strategy which is able to achieve 100% accurate segmentation from a data set of 19946 cell nucleus images by automatically discarding the most difficult cell images. The automatic quality checking is applied to enhance the performance of a robust energy minimisation based segmentation scheme which already achieved a 99.47% accurate segmentation rate.
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| Subjects |
280000 Information, Computing and Communication Sciences
730108 Cancer and related disorders
280207 Pattern Recognition
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| Keyword(s) |
Cell
Cytology
Image
Segmentation
iris-research
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| Additional Notes |
Invited paper, no. 748
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