Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/47134
Title: Discrete thermal data analysis using various classifiers for early detection of breast cancer
Authors: Tan, Joanna Ming Yi
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2009
Source: Tan, J. M. Y. (2009). Discrete thermal data analysis using various classifiers for early detection of breast cancer. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: Breast cancer is the second leading cause of death in women. It occurs when cells in the breast begin to grow out of control and invade nearby tissues or spread throughout the body. The limitations of mammography as a screening modality, especially in young women with denser breasts, necessitated the development of novel and more effective screening strategies with acceptable sensitivity and specificity. In this work, the interpretive software system was further enhanced and developed for the detection and classification of the breast cancer patients. This system incorporated dynamic thermal analysis and analytical software to produce a potential tool for detection of breast cancer.
Description: 138 p.
URI: https://hdl.handle.net/10356/47134
DOI: 10.32657/10356/47134
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
MAE_THESES_152.pdf13.32 MBAdobe PDFThumbnail
View/Open

Page view(s) 50

324
Updated on May 13, 2021

Download(s) 20

217
Updated on May 13, 2021

Google ScholarTM

Check

Altmetric


Plumx

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