Genetic Programming for the Classification of Levels of Mammographic Density

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Fajardo-Delgado:2018:ICAISC,

• author = "Daniel Fajardo-Delgado and Maria Guadalupe Sanchez and Raquel Ochoa-Ornelas and Ismael Edrein Espinosa-Curiel and Vicente Vidal",
• title = "Genetic Programming for the Classification of Levels of Mammographic Density",
• booktitle = "International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018",
• year = "2018",
• editor = "Leszek Rutkowski and Rafal Scherer and Marcin Korytkowski and Witold Pedrycz and Ryszard Tadeusiewicz and Jacek M. Zurada",
• volume = "10841",
• series = "Lecture Notes in Computer Science",
• pages = "363--375",
• address = "Zakopane, Poland",
• month = jun # " 3-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, breast cancer, levels of mammographic density",
• isbn13 = "978-3-319-91252-3",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icaisc/icaisc2018-1.html#Fajardo-Delgado18",
• DOI = "doi:10.1007/978-3-319-91253-0_34",
• size = "13 pages",
• abstract = "Breast cancer is the second cause of death of adult women in Mexico. Some of the risk factors for breast cancer that are visible in a mammography are the masses, calcifications, and the levels of mammographic density. While the first two have been studied extensively through the use of digital mammographies, this is not the case for the last one. In this paper, we address the automatic classification problem for the levels of mammographic density based on an evolutionary approach. Our solution comprises the following stages: thresholding, feature extractions, and the implementation of a genetic program. We performed experiments to compare the accuracy of our solution with other conventional classifiers. Experimental results show that our solution is very competitive and even outperforms the other classifiers in some cases.",
• notes = "conf/icaisc/Fajardo-Delgado18",

}

Genetic Programming entries for Daniel Fajardo-Delgado Maria Guadalupe Sanchez Raquel Ochoa-Ornelas Ismael Edrein Espinosa-Curiel Vicente Vidal

Citations