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US 12,481,885 B2Granted
Systems and methods to train a cell object detector
AssigneeIcahn School of Medicine at Mount Sinai
InventorsJack Zeineh, Marcel Prastawa, Gerardo Fernandez
Life of this patent
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Abstract
Systems and methods to train a cell object detector are described.
Claims29
A computer-implemented method comprising:
- obtaining training data that includes a first set of cell images and corresponding first labels;
- augmenting the training data with a second set of cell images and corresponding second labels;
- training a first neural network to perform coarse detection using the augmented training data to detect one or more cell images that include candidate objects;
- and
- training a second neural network to perform fine discrimination to identify an object of a particular type of cell object by providing one or more cell images that include the candidate objects detected by the first neural network as input to the second neural network and labels associated with the one or more cell images, wherein after the training the second neural network can distinguish between objects of a particular type and look-alike objects.
2 more elements
A non-transitory computer-readable medium with instructions stored thereon that, when executed by one or more computers, cause the one or more computers to perform operations comprising:
- obtaining training data that includes a first set of cell images and corresponding first labels;
- augmenting the training data with a second set of cell images and corresponding second labels;
- training a first neural network to perform coarse detection using the augmented training data to detect one or more cell images that include candidate objects;
- and
- training a second neural network to perform fine discrimination to identify an object of a particular type of cell object by providing one or more cell images that include the candidate objects detected by the first neural network as input to the second neural network and labels associated with the one or more cell images, wherein after the training the second neural network can distinguish between objects of a particular type and look-alike objects.
2 more elements
A system, comprising:
- one or more processors coupled to a computer readable memory having stored thereon software instructions that, when executed by the one or more processors, cause the one or more processors to perform or control performance of operations including:
- obtaining training data that includes a first set of cell images and corresponding first labels;
- augmenting the training data with a second set of cell images and corresponding second labels;
- training a first neural network to perform coarse detection using the augmented training data to detect one or more cell images that include candidate objects;
- and
- training a second neural network to perform fine discrimination to identify an object of a particular type of cell object by providing one or more cell images that include the candidate objects detected by the first neural network as input to the second neural network and labels associated with the one or more cell images, wherein after the training the second neural network can distinguish between objects of a particular type and look-alike objects.
3 more elements
Dependencies are inferred from the claim text.