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:
Nov. 22, 2022

Filed:

Mar. 19, 2021
Applicant:

Qure.ai Technologies Private Limited, Mumbai, IN;

Inventors:

Preetham Putha, Guntur, IN;

Manoj Tadepalli, Krishna Gudivada, IN;

Bhargava Reddy, Mumbai, IN;

Tarun Raj, Vishakapatnam, IN;

Ammar Jagirdar, Mumbai, IN;

Pooja Rao, Pune, IN;

Prashant Warier, Mumbai, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06T 7/00 (2017.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06K 9/6292 (2013.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01); G06V 2201/03 (2022.01);
Abstract

This disclosure generally pertains to methods and systems for automatically detecting acquisition errors in a medical image using machine learning. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems for detecting acquisition errors in an X-ray image, the system comprising a non-transitory computer-readable medium storing a preprocessing quality control module that, when executed by at least one electronic processor, is configured to generate associated classifications identifying characteristics of the medical image.


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