Comparison of Structuring Elements for Benign and Malignant Classification in Breast Cancer

Authors

  • Norazlin Mohd Noor Centre of Mathematical Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Nurul Fateha Zainal Centre of Mathematical Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Siti Salmah Yasiran Centre of Mathematical Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

Keywords:

Mammogram, segmentation, breast cancer, structuring element

Abstract

A Computer-Aided Diagnosis (CADx) system is a diagnostic tool radiologists use to reduce errors in breast cancer detection. Structuring elements in mathematical morphology could enhance the quality of the images of breast cancer.  It is challenging to find a suitable type of structuring element with an optimal radius.  Hence, this study classifies benign and malignant tumours while utilising square and diamond structuring elements. Mean square error (MSE) evaluates the quality of images that are obtained from noise between the original and segmented images.  The results show that the highest accuracy for structuring elements is for square and diamond values, at 89% and 89.2%, respectively. 

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Published

2026-01-27

How to Cite

Mohd Noor, N., Zainal, N. F., & Yasiran, S. S. (2026). Comparison of Structuring Elements for Benign and Malignant Classification in Breast Cancer . Environment-Behaviour Proceedings Journal, 10(SI40). Retrieved from https://ebpj.e-iph.co.uk/index.php/EBProceedings/article/view/7710

Issue

Vol. 10 No. SI40 (2025): Dec. 10th International Conference on Science & Social Research Virtual Conference, CSSR 2023, 6-7 Nov 2023 (DRAFT)

Section

Health / Healing Environment

License

Copyright (c) 2025 Norazlin Mohd Noor, Nurul Fateha Zainal, Siti Salmah Yasiran

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.