The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 06, 2021

Filed:

May. 23, 2018
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Rithesh Sreenivasan, Bangalore, IN;

Shreya Anand, Bangalore, IN;

Tilak Raj Arora, Haryana, IN;

Oladimeji Feyisetan Farri, Yorktown Heights, NY (US);

Sheikh Sadid Al Hasan, Cambridge, MA (US);

Yuan Ling, Somerville, MA (US);

Junyi Liu, Windham, NH (US);

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G16H 15/00 (2018.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16H 15/00 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01);
Abstract

A method for generating a textual description from a medical image, comprising: receiving a medical image having a first modality to a system configured to generate a textual description of the medical image; determining, using an imaging modality classification module, that the first modality is a specific one of a plurality of different modalities; determining, using an anatomy classification module, that the medical image comprises information about a specific portion of an anatomy; identifying, by an orchestrator module based at least on the determined first modality, which of a plurality of different text generation models to utilize to generate a textual description from the medical image; generating, by a text generation module utilizing the identified text generation model, a textual description from the medical image; and reporting, via a user interface of the system, the generated textual description.


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