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

^*此作品的通讯作者

University of Electronic Science and Technology of China

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
页	668-672
页数	5
ISBN（电子版）	9781665491259
DOI	https://doi.org/10.1109/ICAIBD57115.2023.10206172
出版状态	已出版 - 2023
已对外发布	是
活动	6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023 - Chengdu, 中国期限: 26 5月 2023 → 29 5月 2023

出版系列

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

会议

会议	6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023
国家/地区	中国
市	Chengdu
时期	26/05/23 → 29/05/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/ICAIBD57115.2023.10206172

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023 (页码 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 等. / 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. 页码 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. 在 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., 页码 668-672, 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023, Chengdu, 中国, 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 等.
2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 668-672 (2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

U2 - 10.1109/ICAIBD57115.2023.10206172

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. 在 2023 6th International Conference on Artificial Intelligence and Big Data, ICAIBD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 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

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此