Early Breast Cancer Detection in Thermogram Images using AdaBoost Classifier and Fuzzy C-Means Clustering Algorithm
Background: In this paper we compare a highly accurate supervised to an unsupervised technique that uses breast thermal images with the aim of assisting physicians in early detection of breast cancer. Methods: First, we segmented the images and determined the region of interest. Then, 23 feature...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Shiraz University of Medical Sciences
2016-07-01
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Series: | Middle East Journal of Cancer |
Subjects: | |
Online Access: | http://mejc.sums.ac.ir/index.php/mejc/article/view/381/259 |