3D Convolutional Neural Networks for Sperm Motility Prediction
Author:
Affiliation:
1. Universiti Teknologi Malaysia,School of Biomedical Engineering and Health Science Faculty of Engineering,Johor,Malaysia
2. Universiti Teknologi Malaysia,Sport Innovation & Technology Centre (SITC) Faculty of Engineering,Johor,Malaysia
Funder
Universiti Teknologi Malaysia
Ministry of Higher Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10037752/10037789/10037950.pdf?arnumber=10037950
Reference32 articles.
1. Semen analysis standardization: is there any problem in Polish laboratories?
2. The future of computer-aided sperm analysis
3. Quantification and classification of human sperm morphology by computer-assisted image analysis**Work performed under the auspices of the Office of Health and Environmental Research, United States Department of Energy by the Lawrence Livermore National Laboratory under Contract Number W-7405-ENG-48; partial funding from grant BRSG S07 RR 05917 awarded by the Biomedical Research Support Grant Program, Division of Research Resources, National Institutes of Health; also supported in part by the University of California Program for Analytical Cytology.
4. Automation is the key to standardized semen analysis using the automated SQA-V sperm quality analyzer
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