SPICE: Superpixel Classification for Cell Detection and Counting

Oman Magaña-Tellez, Michalis Vrigkas, Christophoros Nikou, Ioannis Kakadiaris

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.

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Paper Citation


in Harvard Style

Magaña-Tellez O., Vrigkas M., Nikou C. and Kakadiaris I. (2018). SPICE: Superpixel Classification for Cell Detection and Counting.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 485-490. DOI: 10.5220/0006508304850490


in Bibtex Style

@conference{visapp18,
author={Oman Magaña-Tellez and Michalis Vrigkas and Christophoros Nikou and Ioannis Kakadiaris},
title={SPICE: Superpixel Classification for Cell Detection and Counting},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={485-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006508304850490},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - SPICE: Superpixel Classification for Cell Detection and Counting
SN - 978-989-758-290-5
AU - Magaña-Tellez O.
AU - Vrigkas M.
AU - Nikou C.
AU - Kakadiaris I.
PY - 2018
SP - 485
EP - 490
DO - 10.5220/0006508304850490