Hybrid Approach of Tumor Detection in Mammogram Images By Using Soft Computing Techniques
Sridevi Tharanidharan, Nazik Ahmed Osman Medani, Anamika Raj, Randa Mohamed AbdElhalim
Clustring Segmentatio, Hybrid Neuro-Fuzzy Systems Decision Tree and Morphological Operation
In the current era, the pandemic situation medical image processing may struggle with diagnosing the disease so the help of using soft computing techniques in the healthcare industry is very much useful to diagnose the disease, especially in mammogram images easily. Here we introduced the novel approaches of fuzzy-based dimensionality reduction by using soft computing techniques in the mammogram image dataset without loss of information. The efficient morphological operations are used for preprocessing, segmentation, and feature extraction the fuzzy logic and membership function has been used and the decision tree classification is used for classifying the tumors easily.
Article Details
Unique Paper ID: 160735

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 1063 - 1068
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Go To Issue

Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews