Patent ID: 11966842
Assignee: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. 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 to determine whether a particular type of cell object is present in a cell image, the operations comprising:
providing the cell image as input to a trained machine-learning model, wherein the trained machine-learning model includes a first neural network and a second neural network, and is trained by:
obtaining training data that includes a first set of cell images and corresponding first labels, wherein the first labels identify one or more types of objects in the first set of cell images including the particular type of cell object and a second set of cell images and corresponding second labels, wherein the second labels identify a look-alike object that is similar in visual appearance to the particular type of cell object;
training the first neural network to detect one or more cell images that include candidate objects, wherein the candidate objects include objects of the particular type of cell object or a look-alike object type, wherein the training comprises:
providing the first set of cell images and the second set of cell images as input to the first neural network;
obtaining, as output of the first neural network, one or more output labels for each image in the first set and the second set;
comparing the output labels for each image with the corresponding labels in the first set or the second set; and
adjusting one or more parameters of the first neural network based on the comparing; and

training the second neural network to identify an object of the particular type of cell object by providing the one or more cell images that include candidate objects detected by the first neural network as input to the second neural network and the labels associated with the one or more cell images, wherein after the training the second neural network can distinguish between objects of the particular type and look-alike objects; and
obtaining, as output of the second neural network, an indication of whether the particular type of cell object is present in the cell image.