AUTOMATED EVALUATION OF SPERM MORPHOLOGY

摘要

Systems and methods are provided for provided for automatic evaluation of sperm morphology. An image of a semen sample is obtained, and at least a portion of the image is provided to a convolutional neural network classifier. The convolutional neural network classifier evaluates the portion of the image to assign to the portion of the image a set of likelihoods that the portion of the image belongs to a plurality of output classes representing the morphology of sperm within the portion of the image. A metric is assigned to the semen sample based on the likelihoods assigned by the convolutional neural network.