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Authors: Ryosuke Iida 1 ; Kazuki Hashimoto 1 ; Kouich Hirata 1 ; Kimiko Matsuoka 2 and Shigeki Yokoyama 3

Affiliations: 1 Kyushu Institute of Technology, Kawazu 680-4, Iizuka 820-8502, Japan ; 2 Osaka General Medical Center, Bandaihigashi 3-1-56, Sumiyoshi, Ohsaka 558-8558, Japan ; 3 KD-ICONS, Ohmoriminami 4-6-15-304, Ohta, Tokyo 143-0013, Japan

ISBN: 978-989-758-397-1

ISSN: 2184-4313

Keyword(s): Gram Stain, Gram Stained Smears Images, Gram Types, Gram Positive Cocci, Gram Positive Bacilli, Gram Negative Cocci, Gram Negative Bacilli.

Abstract: In this paper, we develop the detection system of Gram types determined by stained colors and stained shapes for bacteria from Gram stained smears images. Here, we call four types of bacteria, that is, Gram positive cocci (GPC), Gram positive bacilli (GPB), Gram negative cocci (GNC) and Gram negative bacilli (GPB) Gram types, and then add to two types as Gram positive unknown (GPU), and Gram positive unknown (GNU). The system first infers the candidate regions of bacteria by using image processing. Next, it constructs a classifier dividing the candidate regions into Gram types by using SVM (support vetcor machine) and DNN (deep neural network). Finally, it detects the occurrences of Gram types in a newly input image and retrieves Gram stained smears images similar as the input image such that the occurrence ratio for the Gram types is similar.

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Paper citation in several formats:
Iida, R.; Hashimoto, K.; Hirata, K.; Matsuoka, K. and Yokoyama, S. (2020). Detection System of Gram Types for Bacteria from Gram Stained Smears Images.In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, ISSN 2184-4313, pages 477-484. DOI: 10.5220/0008964404770484

@conference{icpram20,
author={Ryosuke Iida. and Kazuki Hashimoto. and Kouich Hirata. and Kimiko Matsuoka. and Shigeki Yokoyama.},
title={Detection System of Gram Types for Bacteria from Gram Stained Smears Images},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={477-484},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008964404770484},
isbn={978-989-758-397-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Detection System of Gram Types for Bacteria from Gram Stained Smears Images
SN - 978-989-758-397-1
AU - Iida, R.
AU - Hashimoto, K.
AU - Hirata, K.
AU - Matsuoka, K.
AU - Yokoyama, S.
PY - 2020
SP - 477
EP - 484
DO - 10.5220/0008964404770484

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