Detection of malignant Cases by Segmentation of Cells in Medical Images and Applying Fuzzy Logic Technique

  • Salim J. Attia College of Dentistry- Baghdad University
Keywords: segmentation, adaptive threshold, optical imaging, fuzzy logic

Abstract

The process of detection and segmentation of cells is considered in digital optical images of human breast tissue as important base to diagnose the diseases. The major features of malignancy are related with the cells. It is therefore essential to operate a segmentation of the image, to isolate the cells from the rest of image, i. e., from other tissue components, and from some other undesirable elements of images. The recognition process includes a segmentation algorithm based on an adaptive imaging threshold procedure that is sensitive to local ranges in pixel intensity (minimum-maximum values). The statistical features are extracted from the images of cells like median, mode, mean and standard deviation. Then the fuzzy logic method is applied to detect breast cancer

Published
2019-07-10
How to Cite
Attia, S. J. (2019). Detection of malignant Cases by Segmentation of Cells in Medical Images and Applying Fuzzy Logic Technique. University of Thi-Qar Journal of Science, 4(4), 71-74. Retrieved from https://jsci.utq.edu.iq/index.php/main/article/view/669
Section
Articles