dc.contributor.authorHan, Danen_US
dc.date.accessioned2010-05-21T04:46:52Z
dc.date.accessioned2017-07-23T08:32:57Z
dc.date.available2010-05-21T04:46:52Z
dc.date.available2017-07-23T08:32:57Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationHan, D. (2007). Gland segmentation of microscopic image for prostate cancer. Master’s thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/39166
dc.description112 p.en_US
dc.description.abstractComputer-aided image processing has attracted much research interest in recent years. In particular, there has been growing interest in processing and analyzing biomedical images by computer. Traditionally, biomedical images used for diagnosis are examined visually by experienced pathologists. However, the subjective nature of visual examination frequently results in variant conclusions by different pathologists. Hence, there's an increasing demand for automated method to help improve the efficiency and accuracy of biomedical images diagnosis by incorporating the power of digital image processing techniques into pathological image analysis.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_us
dc.titleGland segmentation of microscopic image for prostate canceren_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorMao Kezhien_US
dc.description.degreeMASTER OF ENGINEERING (EEE)en_US


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