Object Detection as Campylobacter Bacteria and Phagocytotic Activity of Leukocytes in Gram Stained Smears Images

Kyohei Yoshihara, Kouich Hirata

2022

Abstract

In this paper, we apply object detection to Gram stained smear images, where objects are Campylobacter bacteria and phagocytotic activity of leukocytes. Then, we adopt three CNN-based object detectors of Faster R-CNN, RetinaNet and YOLOv5. The outline of the detection is first to annotate the regions of objects as Campylobacter bacteria and phagocytotic activity of leukocytes in training images, and then to detect the regions of objects in the remained test images by using the detectors. Finally, we give experimental results of detecting Campylobacter bacteria and phagocytotic activity of leukocytes in Gram stained smear images by using the detectors.

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Paper Citation


in Harvard Style

Yoshihara K. and Hirata K. (2022). Object Detection as Campylobacter Bacteria and Phagocytotic Activity of Leukocytes in Gram Stained Smears Images. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 534-541. DOI: 10.5220/0010813800003122


in Bibtex Style

@conference{icpram22,
author={Kyohei Yoshihara and Kouich Hirata},
title={Object Detection as Campylobacter Bacteria and Phagocytotic Activity of Leukocytes in Gram Stained Smears Images},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={534-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010813800003122},
isbn={978-989-758-549-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Object Detection as Campylobacter Bacteria and Phagocytotic Activity of Leukocytes in Gram Stained Smears Images
SN - 978-989-758-549-4
AU - Yoshihara K.
AU - Hirata K.
PY - 2022
SP - 534
EP - 541
DO - 10.5220/0010813800003122