Systems and methods for detection of structures and/or patterns in images

A system comprising:

• one or more data processors;
• and
• a non-transitory computer readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform actions including:
• obtaining a training image of a biological specimen;
• separating, using color deconvolution, the training image into a plurality of color channels;
• obtaining a label for a biological structure in the biological specimen, wherein the label provides an identity and locator of the cellular structure, and the locator provides the location of the biological structure within the training image;
• extracting an image patch around the location of the biological structure from each color channel of the plurality of color channels;
• identifying the image patch and the label as a ground truth;
• and
• training a convolutional neural network model based on the ground truth.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to perform actions including:

• obtaining a training image of a biological specimen;
• separating, using color deconvolution, the training image into a plurality of color channels;
• obtaining a label for a biological structure in the biological specimen, wherein the label provides an identity and locator of the cellular structure, and the locator provides the location of the biological structure within the training image;
• extracting an image patch around the location of the biological structure from each color channel of the plurality of color channels;
• identifying the image patch and the label as a ground truth;
• and
• training a convolutional neural network model based on the ground truth.