<i>Trichomonas vaginalis</i> Detection Using Two Convolutional Neural Networks with Encoder-Decoder Architecture

<i>Trichomonas vaginalis</i> Detection Using Two Convolutional Neural Networks with Encoder-Decoder Architecture

Diagnosis of <i>Trichomonas vaginalis</i> infection is one of the most important factors in the routine examination of leucorrhea. According to the motion characteristics of <i>Trichomonas vaginalis</i>, a viable detection method is the use of a microscopic camera to record v...

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Bibliographic Details
Main Authors: Xiangzhou Wang, Xiaohui Du, Lin Liu, Guangming Ni, Jing Zhang, Juanxiu Liu, Yong Liu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
<i>Trichomonas vaginalis</i> detection
rough and fine detection
video object detection
convolutional neural network
encoder-decoder architecture
Online Access:https://www.mdpi.com/2076-3417/11/6/2738

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