Systems and methods for processing electronic images

An image processing method, comprising:

• receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient;
• determining a quality control metric for the target image via a first trained machine learning model having been trained to predict the quality control metric based on the target image, wherein the quality control metric signifies a quality control issue;
• and
• outputting, via a user interface, a sequence of a plurality of digitized pathology images, wherein a placement of the target image in the sequence is based on the quality control metric.

A system for processing digital medical images, the system comprising:

• at least one memory storing instructions;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient;
• determining a quality control metric for the target image via a first trained machine learning model having been trained to predict the quality control metric based on the target image, wherein the quality control metric signifies a quality control issue;
• and
• outputting, via a user interface, a sequence of a plurality of digitized pathology images, wherein a placement of the target image in the sequence is based on the quality control metric.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform image processing operations, the operations comprising:

• receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient;
• determining a quality control metric for the target image via a first trained machine learning model having been trained to predict the quality control metric based on the target image, wherein the quality control metric signifies a quality control issue;
• and
• outputting, via a user interface, a sequence of a plurality of digitized pathology images, wherein a placement of the target image in the sequence is based on the quality control metric.