Analysis and Detection of Ovarian Cyst Using Soft Computing Technique in MATLAB

Abstract

Cyst and polycystic ovary syndrome is a disorder is a normal phenomenon that affect woman
in the perlite age. The most important thing is that PCOS. PCOS syndrome is mainly found in
women aging from 12 year to 60 year. In our project, we will be going to use more neighbour
counter, water shade method, active counter models, Gaussian filtering and binary filtering
method are going to be used in this paper to detect the size, shape and border of the ovarian
cyst from echography images. In order to analyse the efficiency of segmentation and
application developed in MATLAB software is proposed.