PROCESSING CELL IMAGES USING NEURAL NETWORKS

Patent №

US 9,971,966

Granted

2018-05-15

Filed 2016

Owner

GOOGLE INC.

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15055446

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

Machine learningVisionAI hardwareG06T 7/0014G06N 3/045G06N 3/0464G06N 3/09G06T 7/60G06V 10/82G06V 20/69G06N 3/02+1 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.10
Planning0.05
Knowledge representation0.03
Evolutionary computation0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 383020287

Assignors

NELSON, PHILIP CHARLES, CHRISTIANSEN, ERIC MARTIN, BERNDL, MARC, FRUMKIN, MICHAEL

On an employer assignment, the assignors are typically the inventors.

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