Enhancement of Mammogram Images Using Digital Image Processing Techniques for Breast Cancer Detection

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DOI:

https://doi.org/10.20372/star.V13.i4.13

Keywords:

Image Acquisition, Image Enhancement, Mammography, Breast Cancer, Histogram Equalisation

Abstract

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Author Biographies

Tekleweyni Berhe, Haramaya University

Department of Physics, Haramaya University, Dire Dawa, Ethiopia

Eshetu Diriba, Haramaya University

Department of Physics, Haramaya University, Dire Dawa, Ethiopia

References

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Dhal, K. G., Das, A., Ray, S., Gálvez, J., & Das, S. (2021). Histogram equalisation variants as optimization problems: a review. Archives of Computational Methods in Engineering, 28, 1471-1496. https://doi.org/10.1007/s11831-020-09425-1

Härtinger, P., & Steger, C. (2024). Adaptive histogram equalisation in constant time. Journal of Real-Time Image Processing, 21(3), 93. https://doi.org/10.1007 /s11554-024-01465-1

Jung, K. W., Kang, M. J., Park, E. H., Yun, E. H., Kim, H. J., Kong, H. J., Im, J.S., & Seo, H. G. (2023). Prediction of cancer incidence and mortality in Korea, 2023. Cancer research and treatment: official journal of Korean Cancer Association, 55(2), 400-407. https://doi.org/10 .4143/crt.2023.448

Kebede, S. R., Waldamichael, F. G., Debelee, T. G., Aleme, M., Bedane, W., Mezgebu, B., & Merga, Z. C. (2024). Dual view deep learning for enhanced breast cancer screening using mammography. Scientific Reports, 14(1), 3839. https://doi.org/10.1038/s41598-023-507 97-8

Khamaneh, A. J., Rahimi, S., Abbas, M. H., Rahimi, S., Mehmandoust, S., Rastgoo, A., Heydarian, A. & Eskandari, V. (2023). Trends in electrochemical biosensors for the early diagnosis of breast cancer through the detection of relevant biomarkers. Chemical Physics Impact, 100425. https://doi.org/10.3390/s230 84128

Maurya, L., Lohchab, V., Mahapatra, P. K., & Abonyi, J. (2022). Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion. Journal of King Saud University-Computer and Information Sciences, 34(9), 7247-7258. https://doi.org/10.1016/j.jksuci.2021.07.008

Mutlag, W. K., Ali, S. K., Aydam, Z. M., & Taher, B. H. (2020, July). Feature extraction methods: a review. In Journal of Physics: Conference Series, 1591(1), 012028. https://iopscience. iop.org/article/10.1088/1742-6596/1591/1/012

Nicosia, L., Gnocchi, G., Gorini, I., Venturini, M., Fontana, F., Pesapane, F., Abiuso, I., Bozzini, A.C., Pizzamiglio, M., Latronico, A., Abbate, F., Meneghetti, L., Battaglia, O., Pellegrino, G., & Cassano, E. (2023, May). History of mammography: analysis of breast imaging diagnostic achievements over the last century. In Healthcare, 11(11), 1596. https://doi.org/10 .3390/healthcare11111596

Norouzi, S., & Goudarzi, T. (2022). Effects of fiber orientation and the anisotropic behavior of the cardiac tissue on the simulated electrocardiogram. Acta Mechanica, 233(10), 3881-3892. https://doi.org/10.1007/s00707-02 2-03286-4

Ruiz Herrera, C., Grandits, T., Plank, G., Perdikaris, P., Sahli Costabal, F., & Pezzuto, S. (2022). Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Engineering with Computers, 38(5), 3957-3973. https://doi.org/1 0.1007/s00366-022-01709-3

Santos, J. C., Santos, M. S., & Abreu, P. H. (2024). Enhancing mammography: A comprehensive review of computer methods for improving image quality. Progress in Biomedical Engineering, 6(4), 042002. https://doi.org/ 10.1088/2516-1091/ad776b

Sohibnazarova, M. S. (2024). Morphological Examination of Breast Cancer Patients. Eurasian Journal of Medical and Natural Sciences, 4(1-1), 272-278. https:// www.doi.org/10.5281/zenodo.10548461

Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., & Xian, R. P. (2019). Multidimensional contrast limited adaptive histogram equalisation. IEEE Access, 7, 165437-165447. https://doi.org/10.1109/ACCESS.2019.2952899

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Published

29.12.2024

How to Cite

Tekleweyni Berhe, & Eshetu Diriba. (2024). Enhancement of Mammogram Images Using Digital Image Processing Techniques for Breast Cancer Detection. Journal of Science, Technology and Arts Research, 13(4), 188–198. https://doi.org/10.20372/star.V13.i4.13

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Original Research

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