Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow

Liangwei Li; Xiangzhou Wang; Juanxiu Liu; Lin Liu; Jing Zhang

doi:10.1109/ICAIBD57115.2023.10206172

Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow

Liangwei Li^*
, Xiangzhou Wang
, Juanxiu Liu
, Lin Liu
, Jing Zhang

^*Corresponding author for this work

University of Electronic Science and Technology of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Trichomoniasis is a common sexually transmitted disease caused by Trichomonas vaginalis and automatic trichomonas vaginalis (TV) detection is a problem of great concern in video object detection. However, existing algorithms are inadequate to identify and localize TV through the microscopic camera efficiently; the defocus, motion blur, resolution and computational efficiency, remain the major problems. To bridge the gap, we propose to learn the invariant side of the dynamic TV by capturing the optical flow. To make use of the motion information, we introduce OF-YOLO, a general-purpose framework for catching hold of the motion feature. We test it on a dataset with 1278 Trichomonas video clips including 51336 frames. Experiment results show how the OF-YOLO significantly boosts the detection performance on real-world scenes.

Original language	English
Title of host publication	2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	668-672
Number of pages	5
ISBN (Electronic)	9781665491259
DOIs	https://doi.org/10.1109/ICAIBD57115.2023.10206172
Publication status	Published - 2023
Externally published	Yes
Event	6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023 - Chengdu, China Duration: 26 May 2023 → 29 May 2023

Publication series

Name	2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023

Conference

Conference	6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023
Country/Territory	China
City	Chengdu
Period	26/05/23 → 29/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Trichomonas vaginalis detection
Trichomoniasis diagnosis
convolutional neural networks
deep learning
video object detection

Access to Document

10.1109/ICAIBD57115.2023.10206172

Cite this

Li, L., Wang, X., Liu, J., Liu, L., & Zhang, J. (2023). Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow. In 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023 (pp. 668-672). (2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIBD57115.2023.10206172

Li, Liangwei ; Wang, Xiangzhou ; Liu, Juanxiu et al. / Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow. 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 668-672 (2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023).

@inproceedings{3d4a2fb580f8465082434bcf6ae1719e,

title = "Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow",

abstract = "Trichomoniasis is a common sexually transmitted disease caused by Trichomonas vaginalis and automatic trichomonas vaginalis (TV) detection is a problem of great concern in video object detection. However, existing algorithms are inadequate to identify and localize TV through the microscopic camera efficiently; the defocus, motion blur, resolution and computational efficiency, remain the major problems. To bridge the gap, we propose to learn the invariant side of the dynamic TV by capturing the optical flow. To make use of the motion information, we introduce OF-YOLO, a general-purpose framework for catching hold of the motion feature. We test it on a dataset with 1278 Trichomonas video clips including 51336 frames. Experiment results show how the OF-YOLO significantly boosts the detection performance on real-world scenes.",

keywords = "Trichomonas vaginalis detection, Trichomoniasis diagnosis, convolutional neural networks, deep learning, video object detection",

author = "Liangwei Li and Xiangzhou Wang and Juanxiu Liu and Lin Liu and Jing Zhang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023 ; Conference date: 26-05-2023 Through 29-05-2023",

year = "2023",

doi = "10.1109/ICAIBD57115.2023.10206172",

language = "English",

series = "2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "668--672",

booktitle = "2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023",

address = "United States",

}

Li, L, Wang, X, Liu, J, Liu, L & Zhang, J 2023, Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow. in 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023, Institute of Electrical and Electronics Engineers Inc., pp. 668-672, 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023, Chengdu, China, 26/05/23. https://doi.org/10.1109/ICAIBD57115.2023.10206172

Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow. / Li, Liangwei; Wang, Xiangzhou; Liu, Juanxiu et al.
2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 668-672 (2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow

AU - Li, Liangwei

AU - Wang, Xiangzhou

AU - Liu, Juanxiu

AU - Liu, Lin

AU - Zhang, Jing

PY - 2023

Y1 - 2023

N2 - Trichomoniasis is a common sexually transmitted disease caused by Trichomonas vaginalis and automatic trichomonas vaginalis (TV) detection is a problem of great concern in video object detection. However, existing algorithms are inadequate to identify and localize TV through the microscopic camera efficiently; the defocus, motion blur, resolution and computational efficiency, remain the major problems. To bridge the gap, we propose to learn the invariant side of the dynamic TV by capturing the optical flow. To make use of the motion information, we introduce OF-YOLO, a general-purpose framework for catching hold of the motion feature. We test it on a dataset with 1278 Trichomonas video clips including 51336 frames. Experiment results show how the OF-YOLO significantly boosts the detection performance on real-world scenes.

AB - Trichomoniasis is a common sexually transmitted disease caused by Trichomonas vaginalis and automatic trichomonas vaginalis (TV) detection is a problem of great concern in video object detection. However, existing algorithms are inadequate to identify and localize TV through the microscopic camera efficiently; the defocus, motion blur, resolution and computational efficiency, remain the major problems. To bridge the gap, we propose to learn the invariant side of the dynamic TV by capturing the optical flow. To make use of the motion information, we introduce OF-YOLO, a general-purpose framework for catching hold of the motion feature. We test it on a dataset with 1278 Trichomonas video clips including 51336 frames. Experiment results show how the OF-YOLO significantly boosts the detection performance on real-world scenes.

KW - Trichomonas vaginalis detection

KW - Trichomoniasis diagnosis

KW - convolutional neural networks

KW - deep learning

KW - video object detection

UR - https://www.scopus.com/pages/publications/85169556090

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DO - 10.1109/ICAIBD57115.2023.10206172

M3 - Conference contribution

AN - SCOPUS:85169556090

T3 - 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023

SP - 668

EP - 672

BT - 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023

Y2 - 26 May 2023 through 29 May 2023

ER -

Li L, Wang X, Liu J, Liu L, Zhang J. Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow. In 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 668-672. (2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023). doi: 10.1109/ICAIBD57115.2023.10206172

Leveraging the Invariant Side of Dynamic Trichomonas Vaginalis via the Fusion of Optical Flow

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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