Please use this identifier to cite or link to this item:
Title: Gland segmentation of microscopic image for prostate cancer
Authors: Han, Dan
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Source: Han, D. (2007). Gland segmentation of microscopic image for prostate cancer. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: Computer-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.
Description: 112 p.
DOI: 10.32657/10356/39166
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
HanDan2007.pdfMain report11.38 MBAdobe PDFThumbnail

Page view(s) 50

Updated on May 12, 2021

Download(s) 20

Updated on May 12, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.