CPC G16H 30/40 (2018.01) [G06F 18/23 (2023.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01)] | 20 Claims |
17. A system for validating performance of a trained model configured to predict at least one of a plurality of tissue and/or cellular characteristics categories from a pathology image, the system comprising:
at least one computer hardware processor; and
at least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:
receiving, from a plurality of users, reference annotations each describing at least one of a plurality of tissue and/or cellular characteristic categories, for one or more frames in a set of frames for one or more pathology images, wherein each frame in the set of frames includes a portion of a pathology image of the one or more pathology images;
processing, using the trained model, the set of frames to generate model predictions of annotations, each predicted annotations describing at least one of the plurality of tissue and/or cellular characteristic categories, for a processed frame of the set of frames; and
validating performance of the trained model based on determining a degree of association between the reference annotations and the model predicted annotations for the set of frames.
|