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...

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Bibliographic Details
Main Authors: Amir Ehsan Lashkari, Mohammad Firouzmand
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2016-07-01
Series:Middle East Journal of Cancer
Subjects:
TH
Online Access:http://mejc.sums.ac.ir/index.php/mejc/article/view/381/259