@inproceedings{574b790458974808a2f10f24647a1ddc,
title = "A custom grow-cut based scheme for 2D-gel image segmentation",
abstract = "This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.",
keywords = "Algorithms, Electrophoresis, Gel, Two-Dimensional, Image Processing, Computer-Assisted, Proteomics, Journal Article, Research Support, Non-U.S. Gov't",
author = "Eirini Kostopoulou and Stamos Katsigiannis and Dimitris Maroulis",
year = "2015",
doi = "10.1109/EMBC.2015.7318879",
language = "English",
volume = "2015",
publisher = "IEEE",
pages = "2407--10",
booktitle = "37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015",
address = "United States",
}