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:
Oct. 24, 2023

Filed:

Mar. 30, 2021
Applicant:

Nano-x Ai Ltd., Shefayim, IL;

Inventors:

Jonathan Laserson, Tel Aviv, IL;

Amit Oved, Rosh HaAyin, IL;

Moti Kadosh, RaAnana, IL;

Assignee:

Nano-X AI Ltd., Shefayim, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G06N 20/00 (2019.01); G06F 18/2431 (2023.01); A61B 6/00 (2006.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16H 30/40 (2018.01); A61B 6/502 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

There is provided a method, comprising feeding a medical image into a detector component trained on a first training dataset of medical images annotated with ground truth boxes depicting a visual finding, obtaining boxes each associated with a respective box score indicative of likelihood of the visual finding, converting each respective box into a respective patch, feeding patches into a patch classifier trained on a second training dataset that includes patches extracted from the ground truth box labels of the first training dataset, wherein a patch score for a patch corresponds to a box score obtained from a box corresponding to the patch, obtaining patch scores indicative of likelihood of the visual finding being depicted, and computing a dot product of the box scores and the patch scores, and providing the dot product as an image-level indication of likelihood of the visual finding being depicted in the medical image.


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