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.
authors.forename: Eirini
authors.initials: E
authors.lastname: Kostopoulou
authors.forename: Stamos
authors.initials: S
authors.lastname: Katsigiannis
authors.forename: Dimitris
authors.initials: D
authors.lastname: Maroulis
mesh_terms: D000465:Algorithms; D015180:Electrophoresis, Gel, Two-Dimensional; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D040901:Proteomics