Improved region growing segmentation for breast cancer detection: progression of optimized fuzzy classifier
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 6 May 2020
Issue publication date: 2 July 2020
Abstract
Purpose
Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.
Design/methodology/approach
Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.
Findings
The performance analysis was done for both segmentation and classification. From the analysis, the accuracy of the proposed IAP-CSA-based fuzzy was 41.9% improved than the fuzzy classifier, 2.80% improved than PSO, WOA, and CSA, and 2.32% improved than GWO-based fuzzy classifiers. Additionally, the accuracy of the developed IAP-CSA-fuzzy was 9.54% better than NN, 35.8% better than SVM, and 41.9% better than the existing fuzzy classifier. Hence, it is concluded that the implemented breast cancer detection model was efficient in determining the normal, benign and malignant images.
Originality/value
This paper adopts the latest Improved Awareness Probability-based Crow Search Algorithm (IAP-CSA)-based Region growing and fuzzy classifier for enhancing the breast cancer detection of mammogram images, and this is the first work that utilizes this method.
Keywords
Citation
Patil, R.S. and Biradar, N. (2020), "Improved region growing segmentation for breast cancer detection: progression of optimized fuzzy classifier", International Journal of Intelligent Computing and Cybernetics, Vol. 13 No. 2, pp. 181-205. https://doi.org/10.1108/IJICC-10-2019-0116
Publisher
:Emerald Publishing Limited
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