@inproceedings{78e4b3bb99074c7bbcbef778f59d37d9,
title = "ROI Extraction in Thermographic Breast Images Using Genetic Algorithms",
abstract = "This work proposes the use of Genetic Algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color information, a fitness function based on cardioids, and GA. This is the first work in the literature to propose a Region of Interest (ROI) extraction based on GA and cariods. ROI extraction can improve the accuracy of cancer detection and assist with the standardization of acquisition protocols. The method is able to successfully separate the breast region in 52 out of 58 images, while being fully automatic, and not requiring manual selection of seed points.",
keywords = "Evolutionary Algorithms, Genetic Algorithms, Image Segmentation, Infrared Images, Region of Interest, Thermography",
author = "Mendes, \{L. C.\} and Rodrigues, \{E. O.\} and Izidoro, \{S. C.\} and A. Conci and P. Liatsis",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 27th International Conference on Systems, Signals and Image Processing, IWSSIP 2020 ; Conference date: 01-07-2020 Through 03-07-2020",
year = "2020",
month = jul,
doi = "10.1109/IWSSIP48289.2020.9145346",
language = "British English",
series = "International Conference on Systems, Signals, and Image Processing",
publisher = "IEEE Computer Society",
pages = "111--115",
editor = "Paiva, \{Anselmo C.\} and Aura Conci and Geraldo Braz and Almeida, \{Joao Dallyson S.\} and Fernandes, \{Leandro A. F.\}",
booktitle = "Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, IWSSIP 2020",
address = "United States",
}
