Method for Image Transform Selection in Cytological Image Analysis

I. Koryabkina, I. Gurevich

Abstract

The paper considers diagnostic analysis of blood system tumours using special methods. Initial data are images of specimens from patients with three diagnoses, including two types of aggressive lymphoid tumours, and an innocent tumour. Analysing feature set, it was found that significant features vary for different diagnoses. Thus the task requires special methods for image analysis and recognition, i.e. methods that allow selecting image transformation depending on informational image nature. The paper shows that applying special methods, the recognition rate can be increased appreciably.

References

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Paper Citation


in Harvard Style

Koryabkina I. and Gurevich I. (2009). Method for Image Transform Selection in Cytological Image Analysis . In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 100-106. DOI: 10.5220/0001964101000106


in Bibtex Style

@conference{workshop imta09,
author={I. Koryabkina and I. Gurevich},
title={Method for Image Transform Selection in Cytological Image Analysis},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)},
year={2009},
pages={100-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001964101000106},
isbn={978-989-8111-80-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)
TI - Method for Image Transform Selection in Cytological Image Analysis
SN - 978-989-8111-80-7
AU - Koryabkina I.
AU - Gurevich I.
PY - 2009
SP - 100
EP - 106
DO - 10.5220/0001964101000106