CONVOLUTIONAL NEURAL NETWORKS FOR CANCER DIAGNOSIS

Patent №

US 9,739,783

Granted

2017-08-22

Filed 2016

Owner

ANIXA DIAGNOSTICS CORPORATION

Lab

—

AI components

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15209616

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The present disclosure provides devices and systems for diagnosing and characterizing cancer in a subject. Devices include microfilters and microfiltration systems useful for the isolation and characterization of cells from a subject.

AI hardwareG01N 33/5759G01N 21/6458G01N 33/575G01N 33/57515G01N 33/57545G01N 33/6893G01N 2333/4742G01N 2333/705+1 more

Google Patents

AI classification

AI hardware0.93

Vision0.00

Natural language0.00

Evolutionary computation0.00

Planning0.00

Knowledge representation0.00

Machine learning0.00

Speech0.00

Ownership

ANIXA DIAGNOSTICS CORPORATION

assignment · 396000105

Assignors

KUMAR, AMIT, ROOP, JOHN

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

From the same owner

METHODS FOR USING ARTIFICIAL NEURAL NETWORK ANALYSIS ON FLOW CYTOMETRY DATA FOR CANCER DIAGNOSISUS 11,164,082 · 2021 METHODS FOR USING ARTIFICIAL NEURAL NETWORK ANALYSIS ON FLOW CYTOMETRY DATA FOR CANCER DIAGNOSISUS 11,056,236 · 2021 METHODS FOR USING ARTIFICIAL NEURAL NETWORK ANALYSIS ON FLOW CYTOMETRY DATA FOR CANCER DIAGNOSISUS 10,360,499 · 2019 METHODS FOR USING ARTIFICIAL NEURAL NETWORK ANALYSIS ON FLOW CYTOMETRY DATA FOR CANCER DIAGNOSISUS 9,934,364 · 2018

Cites (1)

EPITHELIAL LAYER DETECTOR AND RELATED METHODSUS 8,341,100 · 2012

Cited by (27)

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