Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm
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...
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| Published in | International journal of swarm intelligence research Vol. 11; no. 3; pp. 1 - 18 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
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Hershey
IGI Global
01.07.2020
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| Online Access | Get full text |
| ISSN | 1947-9263 1947-9271 |
| DOI | 10.4018/IJSIR.2020070101 |
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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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| AbstractList | 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. |
| Author | Razmjooy, Navid Loschi, Hermes Jose Estrela, Vania V |
| AuthorAffiliation | Independent Researcher, Belgium Universidade Federal Fluminense, Brazil State University of Campinas, Brazil |
| AuthorAffiliation_xml | – name: Independent Researcher, Belgium – name: Universidade Federal Fluminense, Brazil – name: State University of Campinas, Brazil |
| Author_xml | – sequence: 1 givenname: Vania surname: Estrela middlename: V fullname: Estrela, Vania V organization: Universidade Federal Fluminense, Brazil – sequence: 2 givenname: Navid surname: Razmjooy fullname: Razmjooy, Navid organization: Independent Researcher, Belgium – sequence: 3 givenname: Hermes surname: Loschi middlename: Jose fullname: Loschi, Hermes Jose organization: State University of Campinas, Brazil |
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| SubjectTerms | Algorithms Breast cancer Heuristic methods Mammography Medical imaging Optimization Optimization algorithms Soccer Tournaments & championships |
| Title | Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm |
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