CPC G06V 10/25 (2022.01) [G06T 3/40 (2013.01); G06T 5/002 (2013.01); G06T 7/0012 (2013.01); G06T 7/194 (2017.01); G06V 30/1448 (2022.01); G06V 30/18105 (2022.01); G06V 30/19173 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 20 Claims |
1. A method of identifying regions of interest (ROIs) in images, comprising:
identifying, by a computing system, an image of a tissue sample on a slide, the slide having an indicator manually labeled using a writing instrument on the tissue sample, the indicator at least partially surrounding a feature of the tissue sample, the image including an annotation corresponding to the indicator, the annotation identifying an ROI corresponding to the feature of the tissue sample, the image having a plurality of pixels in a first color space;
converting, by the computing system, the plurality of pixels from the first color space to a second color space to increase color differences between first color values associated with the annotation from second color values associated with the ROI;
selecting, by the computing system, from the plurality of pixels, a first subset of pixels corresponding to the annotation based at least on a color value of at least one of the first subset of pixels in the second color space;
identifying, by the computing system, a second subset of pixels included in the ROI from the image using the first subset of pixels; and
storing, by the computing system, in one or more data structures, an association between the second subset of pixels and the ROI identified by the annotation in the image.
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