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
N1 - Publisher Copyright:
© 2023 IEEE.
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 - http://www.scopus.com/inward/record.url?scp=85169556090&partnerID=8YFLogxK
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 -
