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...

Full description

Bibliographic Details
Main Authors: Viktorija Valiuškaitė, Vidas Raudonis, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius
Format: Article
Language:English
Published: MDPI AG 2021-12-01
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

Internet

https://www.mdpi.com/1424-8220/21/1/72

Similar Items