@inproceedings{4fbaa795dee44cf896c3048fa569554d,
title = "SPICE: Superpixel classification for cell detection and counting",
abstract = "An algorithm for the localization and counting of cells in histopathological images is presented. The algorithm relies on the presegmentation of an image into a number of superpixels followed by two random forests for classification. The first random forest determines if there are any cells in the superpixels at its input and the second random forest provides the number of cells in the respective superpixel. The algorithm is evaluated on a bone marrow histopathological dataset. We argue that a single random forest is not sufficient to detect all the cells in the image while a cascade of classifiers achieves higher accuracy. The results compare favorably with the state of the art but with a lower computational cost.",
keywords = "Cell detection, Cell quantification, Histological, Random forests, Superpixel",
author = "Oman Maga{\~n}a-Tellez and Michalis Vrigkas and Christophoros Nikou and Kakadiaris, {Ioannis A.}",
note = "Funding Information: This work was funded in part by the Mexican National Council for Science and Technology (CONA-CYT) scholarship, 668902, by the European Commission (H2020-MSCA-IF-2014) No. under grant agreement No. 656094, and by the UH Hugh Roy and Lillie Cranz Cullen Endowment Fund. All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the official views or policies of the sponsors. Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 ; Conference date: 27-01-2018 Through 29-01-2018",
year = "2018",
doi = "10.5220/0006508304850490",
language = "English (US)",
series = "VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
publisher = "SciTePress",
pages = "485--490",
editor = "Alain Tremeau and Francisco Imai and Jose Braz",
booktitle = "VISAPP",
}