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Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm

Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm

Navid Razmjooy, Vania V. Estrela, Hermes Jose Loschi
Copyright: © 2023 |Pages: 21
ISBN13: 9781668471364|ISBN10: 1668471361|EISBN13: 9781668471371
DOI: 10.4018/978-1-6684-7136-4.ch034
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MLA

Razmjooy, Navid, et al. "Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm." Research Anthology on Medical Informatics in Breast and Cervical Cancer, edited by Information Resources Management Association, IGI Global, 2023, pp. 645-665. https://doi.org/10.4018/978-1-6684-7136-4.ch034

APA

Razmjooy, N., Estrela, V. V., & Loschi, H. J. (2023). Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm. In I. Management Association (Ed.), Research Anthology on Medical Informatics in Breast and Cervical Cancer (pp. 645-665). IGI Global. https://doi.org/10.4018/978-1-6684-7136-4.ch034

Chicago

Razmjooy, Navid, Vania V. Estrela, and Hermes Jose Loschi. "Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm." In Research Anthology on Medical Informatics in Breast and Cervical Cancer, edited by Information Resources Management Association, 645-665. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-7136-4.ch034

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Abstract

Breast cancer is one of the deadliest cancers for women. Early detection of skin cancer gives a high chance for the women to escape from the malady and obtain a cure at the initial stages. In other words, early detection of breast cancer has a direct relation by the women's quality of life. In this case, mammography images are important. Indeed, the main test used for screening and early diagnosis of breast cancer is mammography. In recent years, computer-aided cancer detection has been turned into an active field of research and showed a promising future. In this study, a new optimization algorithm based on thresholding is introduced. A WCO algorithm is employed as the optimization algorithm. WCO is a new meta-heuristic approach which is inspired by the FIFA world cup challenge. The presented method utilizes random samples as candidate solutions from the search space inside the image histogram with considering to the objective function that is utilized by the Kapur's method.

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