Abstract
Recent scientific research has noted that the male sperm quality is significantly reduced due to Life style . diagnosis of semen quality is an important diagnostic factor strengthening the sperm ability to Make Pregnancy possisible Due to the development of Deep Learning CNN are related to health problems , Videos of microscopy semen can be used to forecast seminal quality. Existing Computer based sperm analysis is not recommended by WHO because of the challenges posed by sperm stiffness. Then there is the need to improve the methodology of Computer based sperm analysis. We suggest a deep learning approach that is based on the long term Recurrent Convolutional network for evaluation a sperm in sperm Videos. The LRCN network and ConvLSTM performs Pedictions ( fertile or non fertile).
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