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Authors: Oman Magaña-Tellez ; Michalis Vrigkas ; Christophoros Nikou and Ioannis Kakadiaris

Affiliation: University of Houston, United States

Keyword(s): Superpixel, Histological, Cell Detection, Cell Quantification, Random Forests.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Medical Image Applications

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 several formats:
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 (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 485-490. DOI: 10.5220/0006508304850490

@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 (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={485-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006508304850490},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - SPICE: Superpixel Classification for Cell Detection and Counting
SN - 978-989-758-290-5
IS - 2184-4321
AU - Magaña-Tellez, O.
AU - Vrigkas, M.
AU - Nikou, C.
AU - Kakadiaris, I.
PY - 2018
SP - 485
EP - 490
DO - 10.5220/0006508304850490
PB - SciTePress

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