Kilpatrick Townsend & Stockton LLP
Convolutional neural networks for locating objects of interest in images of biological samples
Convolutional neural networks for detecting objects of interest within images of biological specimens are disclosed. Also disclosed are systems and methods of training and using such networks, one method including: obtaining a sample image and at least one of a set of positive points and a set of negative points, wherein each positive point identifies a location of one object of interest within the sample image, and each negative point identifies a location of one object of no-interest within the sample image; obtaining one or more predefined characteristics of objects of interest and/or objects of no-interest, and based on the predefined characteristics, generating a boundary map comprising a positive area around each positive point the set of positive points, and/or a negative area around each negative point in the set of negative points; and training the convolutional neural network using the sample image and the boundary map.
VENTANA MEDICAL SYSTEMS, INC.
G G G G G G G G
G06V G06V G06V G06K G06N G06K G06V G06V
inventional inventional inventional inventional inventional inventional inventional inventional
Srinivas Jianxu
Chukka Chen