Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma
171 p.
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| Other Authors: | |
| Format: | Thesis |
| Published: |
2011
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| Online Access: | https://hdl.handle.net/10356/46968 |
| _version_ | 1826116802311094272 |
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| author | Zhao, Peng |
| author2 | Mao Kezhi |
| author_facet | Mao Kezhi Zhao, Peng |
| author_sort | Zhao, Peng |
| collection | NTU |
| description | 171 p. |
| first_indexed | 2024-10-01T04:17:23Z |
| format | Thesis |
| id | ntu-10356/46968 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:17:23Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/469682023-07-04T16:18:31Z Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma Zhao, Peng Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 171 p. Bladder inverted papilloma is a histologically benign tumor located in the bladder, however it has also been reported that some bladder inverted papilloma could recur and develop into cancer. Diagnosis of bladder inverted papilloma primarily depends on biopsy, where p53 immunohistochemistry is the most frequently used marker. In clinical practice, diagnosis of bladder inverted papilloma is determined human-visually in terms of the percentage of positively stained cells in tissue samples, which is subjective or/and inconsistent. To enable quantitative, objective, and reproducible measurements, image analysis techniques are introduced to computerize cell analysis. The success of an automatic cell analysis system largely depends on the quality of segmentation. However, segmentation of cell images is far from easy due to the complex natures of histology images. Development of sophisticated cell image segmentation algorithms is necessary to ensure success of automatic cell analysis. This is the objective of the present study. DOCTOR OF PHILOSOPHY (EEE) 2011-12-27T05:50:36Z 2011-12-27T05:50:36Z 2007 2007 Thesis Zhao, P. (2007). Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/46968 10.32657/10356/46968 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Zhao, Peng Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title | Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title_full | Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title_fullStr | Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title_full_unstemmed | Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title_short | Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma |
| title_sort | cell image segmentation for p53 immunohistochemistry in bladder inverted papilloma |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/46968 |
| work_keys_str_mv | AT zhaopeng cellimagesegmentationforp53immunohistochemistryinbladderinvertedpapilloma |