Patent ID: 11893732
Assignee: LEICA BIOSYSTEMS IMAGING, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method of identifying tumors in a histological image, the method comprising:
generating, from an output image, a segmentation mask having areas occupied by individual tumors in the output image marked in the segmentation mask, wherein the output image is generated by a convolution neural network based on the histological image, and wherein the output image is mapped to the histological image and has one of a plurality of tissue classes assigned to each pixel of the output image representing classified tissue of the histological image;
computing statistics for each tumor marked in the segmentation mask;
applying a filter to the statistics of the tumors to edit the segmentation mask, wherein application of the filter selects and deselects tumors according to the filter to edit the segmentation mask to remove insignificant tumors;
scoring each tumor in the edited segmentation mask according to a scoring algorithm to assign a score to each tumor; and
ranking the tumors according to their score.