EARLY DETECTION AND VISUALIZATION OF BREAST TUMOR WITH THERMOGRAM AND NEURAL NETWORK

被引:23
作者
Fok, S. C. [1 ]
Ng, E. Y. K. [2 ]
Tai, K. [2 ]
机构
[1] Univ So Queensland, Fac Engn & Surveying, Toowoomba, Qld 4350, Australia
[2] Nanyang Technol Univ, Coll Engn, Sch Mech & Prod Engn, Singapore 639798, Singapore
关键词
ANN; thermography; breast cancer; early prediction; visualization;
D O I
10.1142/S0219519402000344
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Although mammography is still the benchmark technique for breast cancer detection, many advantages of thermography make it a suitable adjunct tool for early detection. This paper describes the development of a computer-aided system for use together with thermography to assist in the detection and visualization/analysis of breast tumors. The system consists of a detection module for predicting the presence of tumors from thermograms, and a visualization module for generating the 3-D volumetric geometry of the suspected tumor inside the breast based on the 2-D thermogram. Detection is achieved through an artificial neural network taking the thermogram image as input, while the visualization is obtained by generating the 3-D model of the breast that produces a matching thermal image as the thermogram under a 3-D finite element analysis. A study with 200 subjects indicate that the detection sensitivity was good but the specificity was poor, but the reverse performance result was true for another back-propagation neural network which used physiological data instead of thermograms as input. This suggests that overall prediction capability can be improved by appropriate combination of the two results.
引用
收藏
页码:185 / 195
页数:11
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