CPC G06T 7/0012 (2013.01) [G06F 18/214 (2023.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01)] | 20 Claims |
1. A system for processing 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 an image of a slide comprising a sample of tissue from a patient;
providing the image as an input image to a trained convolutional neural network (CNN) to obtain a segmentation output image from the trained CNN, the segmentation output image assigning a tissue type from a plurality of tissue types to each pixel in the input image, wherein the CNN is trained based on a training data set including a plurality of training images comprising samples of tissue and, for each of the plurality of training images, corresponding segmentation labels of a tissue type from the plurality of tissue types assigned to each pixel of the respective training image;
determining one or more tests are to be performed on the tissue based on at least one tissue type in the segmentation output image; and
automatically ordering the one or more tests.
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