Hybrid Approach of Tumor Detection in Mammogram Images By Using Soft Computing Techniques

Hybrid Approach of Tumor Detection in Mammogram Images By Using Soft Computing Techniques
Author(s):
Sridevi Tharanidharan, Nazik Ahmed Osman Medani, Anamika Raj, Randa Mohamed AbdElhalim
Keywords:
Clustring Segmentatio, Hybrid Neuro-Fuzzy Systems Decision Tree and Morphological Operation
Abstract
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
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