CPC G06V 20/693 (2022.01) [G06V 10/25 (2022.01); G06V 10/454 (2022.01); G06V 10/462 (2022.01); G06V 10/507 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G06V 30/2504 (2022.01)] | 20 Claims |
1. A method, comprising:
obtaining, by a data processing system, a first set of patches from a biomedical image derived from a tissue sample, each of the first set of patches adjacent to one another and identified as including a candidate region of interest (ROI);
applying, by the data processing system, a feature detection process onto the candidate ROI of each patch of the first set of patches to determine a first plurality of interest points in a corresponding patch of the first set of patches;
identifying, by the data processing system, a second plurality of interest points derived from a predetermined ROI of each patch of a second set of patches;
comparing, by the data processing system, the first plurality of interest points with the second plurality of interest points to determine a subset of matching interest points; and
storing, by the data processing system, in one or more data structure, an association between the candidate ROI of at least one of the first set of patches and the predetermined ROI of at least one of the second set of patches based on the subset of matching interest points.
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