A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.
Sperm morphology, as an indicator of fertility, is a critical tool in semen analysis. In this study, a smartphone-based hybrid system that fully automates the sperm morphological analysis is introduced with the aim of eliminating unwanted human factors. Proposed hybrid system consists of two progres...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 5; pp. 1047 - 1069 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
May2020
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| Online Access: | View this record in EBSCOhost |