White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation

Simone Porcu, Simone Porcu, Simone Porcu, Simone Porcu, Andrea Loddo, Andrea Loddo, Andrea Loddo, Andrea Loddo, Lorenzo Putzu, Lorenzo Putzu, Lorenzo Putzu, Lorenzo Putzu, Cecilia Di Ruberto, Cecilia Di Ruberto, Cecilia Di Ruberto, Cecilia Di Ruberto

Abstract

Haematological procedures like analysis, counting and classification of White Blood Cells (WBCs) are very helpful in the medical field, in order to recognize a pathology, e.g., WBCs analysis leukaemia correlation. Expert technicians manually perform these procedures, therefore, they are influenced by their tiredness and subjectivity. Their automation is still an open issue. Our proposal aims to replicate every single step of the haematologists’ job with a semi-automatic system. The main targets of this work are to decrease the time needed for an analysis and to improve the efficiency of the procedure. It is based on the Vector Field Convolution (VFC) to describe cells edges, going beyond more classic methods like the active contour model. This approach is crucial to face the WBCs clumps and overlaps segmentation issue. To sum up, we defined a system that is able to recognise the leukocytes, to differentiate them from the other blood cells and, finally, to divide the overlapping leukocytes. Experimental results obtained on three public datasets showed that the method is accurate and robust, outperforming the state of the art methods for cells clumps identification and cells counting.

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Paper Citation


in Harvard Style

Porcu S., Loddo A., Putzu L. and Di Ruberto C. (2018). White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation.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 227-234. DOI: 10.5220/0006723202270234


in Bibtex Style

@conference{visapp18,
author={Simone Porcu and Andrea Loddo and Lorenzo Putzu and Cecilia Di Ruberto},
title={White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={227-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006723202270234},
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 - White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation
SN - 978-989-758-290-5
AU - Porcu S.
AU - Loddo A.
AU - Putzu L.
AU - Di Ruberto C.
PY - 2018
SP - 227
EP - 234
DO - 10.5220/0006723202270234