Sperm cell segmentation in digital micrographs based on convolutional neural networks using u-net architecture
Human infertility is considered a serious disease of the the reproductive system that affects more than 10% of couples worldwide,and more than 30% of reported cases are related to men. The crucial step in evaluating male in fertility is a semen analysis, highly dependent on sperm morphology. Howeve...
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Format: | Dissertation |
Language: | English |
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Pontificia Universidad Católica del Perú
2021
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Online Access: | http://hdl.handle.net/20.500.12404/19908 |