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:
Jun. 18, 2024

Filed:

Nov. 11, 2019
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:
Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/75 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G16H 70/60 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06V 10/751 (2022.01); G06V 10/803 (2022.01); G06V 10/82 (2022.01); G06V 20/698 (2022.01); G16H 70/60 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01);
Abstract

The invention relates to a method for use in characterizing lesions in radiology images, comprising performing a computer-based analysis of a pathology image of a sample of a lesion of a subject in order to recognize tissue and/or cellular characteristics of the lesion, wherein the analysis produces a derived pathology image that represents the recognized tissue and/or cellular characteristics, computing one or more radiology features for the lesion from a radiology image of the lesion, and determining correlations between the computed one or more radiology features and the recognized tissue and/or cellular characteristics. With this method, biological ground truth information can be used to identify radiology features that are indicative of certain tissue and/or cellular characteristics of lesions and that may therefore be better suited for characterizing the lesions. Such radiology features can then be used together with the corresponding correlations for an improved characterization of lesions in radiology images.


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