Patent ID: 11926809
Assignee: THE BRIGHAM AND WOMEN'S HOSPITAL
Field: Measurement (Instruments)
Classification: CPC C  G  H | IPC C  G  H

Claim 0:
1. A method for automatic evaluation of sperm morphology, comprising:
obtaining an image of a semen sample;
segmenting the image to provide a plurality of images of individual sperm;
providing at least a subset of the plurality of images to a convolutional neural network classifier, the convolutional neural network classifier evaluating the at least a portion of the image to assign respective likelihoods that the at least a portion of the image belongs to each of a set of at least one of a plurality of output classes representing the morphology of sperm within the semen sample and classifying each of the plurality of individual sperm into one of the plurality of output classes at the convolutional neural network based on the assigned likelihoods, the plurality of output classes including at least one class representing normal sperm and at least two classed representing abnormal sperm; and
assigning a metric to the semen sample based on the likelihoods assigned by the convolutional neural network as a linear combination of respective numbers of the plurality of individual sperm classified into each of the plurality of output classes.