Sperm Cell Classification System Carrying X or Y Chromosome In Human With CNN Algorithm

Sperm cells contain two types of chromosomes: X and Y. The sex of a child is determined by the sperm cell that fertilizes the egg containing an X or Y chromosome. The X chromosome decides the female gender, while the Y chromosome determines the gender man. To determine the type of chromosome, the process of classifying the types of chromosomes contained in sperm cells is carried out. Developing a system for classifying X and Y chromosomes using the Convolutional Neural Network (CNN) algorithm aims to classify sperm cells carrying X or Y chromosomes. This CNN algorithm was chosen because this algorithm is perfect for the object detection process in the image. The CNN algorithm in this study uses two kinds of epoch values, namely 10 and 20. And using three kinds of number of neurons, namely 16, 32 and 128. The highest accuracy obtained in testing the number of epochs is 10 and the number of neurons is 16, and the number of epochs is 20 and the number of neurons is 32, which is 75,36%.