Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics

Douglas Isidoro, Cláudia Carneiro, Mariana Resende, Fátima Medeiros, Daniela Ushizima, Andrea Bianchi

Abstract

This work presents a proposal for an efficient classification of cervical cells based on non-geometric characteristics extracted from nuclear regions of interested. This approach is based on the hypothesis that the nuclei store much of the information about the lesions in addition to their areas being more visible even with a high level of celular overlap, a common fact in the Pap smears images. Classification systems were used in two and three classes for a set of real images of the cervix from a supervised learning method. The results demonstrate high classification performance and high efficiency for applicability in realistic environments, both computational and biological.

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Paper Citation


in Harvard Style

Isidoro D., Carneiro C., Resende M., Medeiros F., Ushizima D. and Bianchi A. (2020). Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-402-2, pages 845-852. DOI: 10.5220/0009172208450852


in Bibtex Style

@conference{visapp20,
author={Douglas Isidoro and Cláudia Carneiro and Mariana Resende and Fátima Medeiros and Daniela Ushizima and Andrea Bianchi},
title={Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2020},
pages={845-852},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009172208450852},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics
SN - 978-989-758-402-2
AU - Isidoro D.
AU - Carneiro C.
AU - Resende M.
AU - Medeiros F.
AU - Ushizima D.
AU - Bianchi A.
PY - 2020
SP - 845
EP - 852
DO - 10.5220/0009172208450852