Computer-assisted system with multiple feature fused support vector machine for sperm morphology diagnosis.
Sperm morphology is an important technique in identifying the health of sperms. In this paper we present a new system and novel approaches to classify different kinds of sperm images in order to assess their health. Our approach mainly relies on a onedimensional feature which is extracted from the s...
| Publicado en: | BioMed Research International Vol. 2013; pp. 687607 - 687608 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |