Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46968
Title: Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma
Authors: Zhao, Peng
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Source: Zhao, P. (2007). Cell image segmentation for P53 immunohistochemistry in bladder inverted papilloma. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
Description: 171 p.
URI: https://hdl.handle.net/10356/46968
DOI: 10.32657/10356/46968
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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