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pro vyhledávání: '"Suleman Shahzad"'
Autor:
Suleman Shahzad, Muhammad Ilyas, M. Ikram Ullah Lali, Hafiz Tayyab Rauf, Seifedine Kadry, Emad Abouel Nasr
Publikováno v:
Mathematics, Vol 11, Iss 3, p 515 (2023)
Sperm morphological analysis (SMA) is an essential step in diagnosing male infertility. Using images of human sperm cells, this research proposes a unique sequential deep-learning method to detect abnormalities in semen samples. The proposed techniqu
Externí odkaz:
https://doaj.org/article/458afef6550340619254d019244b0090
Publikováno v:
Journal of Advances in Biology & Biotechnology. 5:1-10