Deep Characterization For Sperm Analysis: Leveraging A Novel Dataset To Enhance Motility Assessments
Author:
Affiliation:
1. CERIST, Research Center on Scientific and Technical Information,Algiers,Algeria
2. University of Bejaia,Associated Laboratory in Marine Ecosystems and Aquaculture, Faculty of Nature and Life Sciences,Bejaia,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10638790/10638839/10638940.pdf?arnumber=10638940
Reference19 articles.
1. VISEM-Tracking, a human spermatozoa tracking dataset
2. DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
3. A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks
4. A preliminary study of sperm identification in microdissection testicular sperm extraction samples with deep convolutional neural networks;Mashaal;(IJACSA) International Journal of Advanced Computer Science and Applications,2022
5. Local maximum likelihood segmentation of echocardiographic images with Rayleigh distribution
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