Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination

Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination

We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, while the proposed central coordinate tracking algorithm allows...

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Bibliographic Details
Main Authors: Viktorija Valiuškaitė, Vidas Raudonis, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
sperm quality
sperm head detection
convolutional neural network (CNN)
deep learning
Online Access:https://www.mdpi.com/1424-8220/21/1/72

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