Systems and methods to process electronic images to provide image-based cell group targeting

A system for grouping cells in a slide image that share a similar target, comprising:

• at least one memory storing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• receiving a digital pathology image corresponding to a tissue specimen;
• applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen;
• and
• determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations for grouping cells in a slide image that share a similar target, the operations comprising:

• receiving a digital pathology image corresponding to a tissue specimen;
• applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen;
• and
• determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.