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@article{160735,
        author = {Sridevi Tharanidharan and Nazik Ahmed Osman Medani and Anamika Raj and Randa Mohamed AbdElhalim},
        title = {Hybrid Approach of Tumor Detection in Mammogram Images By Using Soft Computing Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {1063-1068},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160735},
        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.},
        keywords = {Clustring Segmentatio, Hybrid Neuro-Fuzzy Systems
Decision Tree and Morphological Operation},
        month = {},
        }