Systems and methods for processing electronic images for computational detection methods

A system for processing electronic slide images corresponding to a tissue specimen, the system comprising:

• at least one memory storing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• receiving one or more electronic slide images associated with a tissue specimen, the tissue specimen being associated with a patient and/or medical case;
• partitioning a first slide image of the one or more electronic slide images into a plurality of tiles;
• detecting a plurality of tissue regions of the first slide image and/or plurality of tiles to generate a tissue mask;
• determining whether any of the plurality of tiles corresponds to non-tissue;
• removing any of the plurality of tiles that are determined to be non-tissue;
• determining a prediction, using a machine learning prediction model, for at least one label for the one or more electronic slide images, the machine learning prediction model having been generated by processing a plurality of training images;
• and
• outputting the prediction of the trained machine learning prediction model.

A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to perform a method for processing electronic slide images corresponding to a tissue specimen, the method comprising:

• receiving one or more electronic slide images associated with a tissue specimen, the tissue specimen being associated with a patient and/or medical case;
• partitioning a first slide image of the one or more electronic slide images into a plurality of tiles;
• detecting a plurality of tissue regions of the first slide image and/or plurality of tiles to generate a tissue mask;
• determining whether any of the plurality of tiles corresponds to non-tissue;
• removing any of the plurality of tiles that are determined to be non-tissue;
• determining a prediction, using a machine learning prediction model, for at least one label for the one or more electronic slide images, the machine learning prediction model having been generated by processing a plurality of training images;
• and
• outputting the prediction of the trained machine learning prediction model.