Sperm Abnormality Detection Using Sequential Deep Neural Network

Sperm Abnormality Detection Using Sequential Deep Neural Network

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 technique identifies and examines several components of hu...

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Bibliographic Details
Main Authors: Suleman Shahzad, Muhammad Ilyas, M. Ikram Ullah Lali, Hafiz Tayyab Rauf, Seifedine Kadry, Emad Abouel Nasr
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
neural networks
sperm abnormality
sequential deep neural network
fertility prediction
Online Access:https://www.mdpi.com/2227-7390/11/3/515

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https://www.mdpi.com/2227-7390/11/3/515

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