@inproceedings{5ed3bfd00edc436ab8cfb5b887aaf805,
title = "DeTEC: Detection of touching elongated cells in SEM images",
abstract = "A probabilistic framework using two random fields, DeTEC (Detection of Touching Elongated Cells) is proposed to detect cells in scanning electron microscopy images with inhomogeneous illumination. The first random field provides a binary segmentation of the image to superpixels that are candidates belonging to cells, and to superpixels that are part of the background, by imposing a prior on the smoothness of the texture features. The second random field selects the superpixels whose boundaries are more likely to form elongated cell walls by imposing a smoothness prior onto the orientations of the boundaries. The method is evaluated on a dataset of Clostridium difficile cell images and is compared to CellDetect.",
author = "A. Memariani and C. Nikou and Endres, {B. T.} and E. Bass{\`e}res and Garey, {K. W.} and Kakadiaris, {I. A.}",
note = "Funding Information: This work was supported in part by the Texas Department of State Health Services (Grant #2015-046620) and by the Hugh Roy and Lillie Cranz Cullen Endowment Fund. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 12th International Symposium on Visual Computing, ISVC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",
year = "2016",
doi = "10.1007/978-3-319-50835-1_27",
language = "English (US)",
isbn = "9783319508344",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "288--297",
editor = "George Bebis and Bahram Parvin and Sandra Skaff and Daisuke Iwai and Richard Boyle and Darko Koracin and Fatih Porikli and Carlos Scheidegger and Alireza Entezari and Jianyuan Min and Amela Sadagic and Tobias Isenberg",
booktitle = "Advances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings",
}