Fully automatic identification and discrimination of sperm’s parts in microscopic images of stained human semen smear

Ahmad Bijar | Antonio Pe?Alver Benavent | Mohammad Mikaeili | Rasoul Khayati

---

URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=7678
Date :  2012/06/28
Publish in :    journal of biomedical science and engineering
DOI :  https://doi.org/10.4236/jbise.2012.57049

Keywords :Fully, parts, microscopic, images, stained, semen, smear

Abstract :

---