Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/16697
DC Field | Value | |
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dc.title | Computer-aided detection of polyps in CT colonography | |
dc.contributor.author | YEO ENG THIAM | |
dc.date.accessioned | 2010-04-08T11:08:02Z | |
dc.date.available | 2010-04-08T11:08:02Z | |
dc.date.issued | 2008-12-25 | |
dc.identifier.citation | YEO ENG THIAM (2008-12-25). Computer-aided detection of polyps in CT colonography. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/16697 | |
dc.description.abstract | We have developed a computer-aided diagnosis system for the detection of colonic polyps. Our system allows radiologists to detect polyps using a virtual flythrough within the 3D model of the reconstructed colon. More importantly, it includes an automatic polyp detection scheme that automatically highlights suspicious regions. As a first reader, this polyp detection scheme reduces interpretation time and decreases inter-observer variability among different radiologists. Polyp candidates are first identified using shape index and curvedness, subsequently filtered by a simple set of rules, before being subjected to linear discriminant analysis (LDA). Optimal subset of features was selected by means of a genetic algorithm. 45 fecal-tagged scans which include 71 polyps (at least 5mm in diameter) were obtained; a 5-fold cross-validation was used to estimate the generalizability of our polyp detection scheme. With sensitivities at 60% and 90%, the respective average numbers of false positives per scan are 6.22 and 18.94. | |
dc.language.iso | en | |
dc.subject | colonography detection polyps virtual colon CT | |
dc.type | Thesis | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.contributor.supervisor | ONG SIM HENG | |
dc.contributor.supervisor | YAN CHYE HWANG | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF ENGINEERING | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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FinalVersion 11 12 2008.pdf | 3.71 MB | Adobe PDF | OPEN | None | View/Download |
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