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

Claim 12:
13. A method of identifying clusters of cells within a sample image of a biological specimen stained for the presence of one or more biomarkers 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 and a region proposal network, wherein the convolutional neural network is configured to identify cellular features and wherein the region proposal network is configured to detect cells based on the identified cellular features;
b. extracting the identified 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.