Patent ID: 11922681
Assignee: VENTANA MEDICAL SYSTEMS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for identifying clusters of cells within a sample image of a biological specimen stained with a primary stain or stained for the presence of one or more biomarkers, the system comprising: (i) one or more processors, and (ii) one or more memories coupled to the one or more processors, the one or more memories to store computer-executable instructions that, when executed by the one or more processors, cause the system to perform operations comprising:
a. detecting cells in the sample image using a trained object detection engine, wherein the trained object detection engine comprises a convolutional neural network adapted to detect cellular features within the sample image;
b. extracting cellular features from one or more layers of the convolutional neural network; and
c. clustering the detected cells in the sample image based on the extracted cellular features to provide one or more homogeneous clusters of detected cells, wherein the clustering of the detected cells comprises performing agglomerative hierarchical clustering.