Invention Grant
- Patent Title: Deep learning models for region-of-interest determination
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Application No.: US17381675Application Date: 2021-07-21
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Publication No.: US11948687B2Publication Date: 2024-04-02
- Inventor: Mustafa I. Jaber , Liudmila A. Beziaeva , Bing Song , Christopher W. Szeto , Stephen Charles Benz , Shahrooz Rabizadeh
- Applicant: NantOmics, LLC , NantHealth, Inc. , NantCell, Inc.
- Applicant Address: US CA Culver City
- Assignee: NantCell, Inc.,NantHealth, Inc.,NantOmics, LLC
- Current Assignee: NantCell, Inc.,NantHealth, Inc.,NantOmics, LLC
- Current Assignee Address: US CA Culver City; US CA Culver City; US CA Culver City
- Agency: Harness Dickey & Pierce P.L.C.
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G06N3/08 ; G06T7/00 ; G06T7/11
Abstract:
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.
Public/Granted literature
- US20220375602A1 Deep Learning Models for Region-of-Interest Determination Public/Granted day:2022-11-24
Information query
