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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Detalles Bibliográficos
Autores principales: Valiuškaitė, Viktorija, Raudonis, Vidas, Maskeliūnas, Rytis, Damaševičius, Robertas, Krilavičius, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795243/
https://www.ncbi.nlm.nih.gov/pubmed/33374461
http://dx.doi.org/10.3390/s21010072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795243/
https://www.ncbi.nlm.nih.gov/pubmed/33374461
http://dx.doi.org/10.3390/s21010072

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