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:
Apr. 30, 2024

Filed:

May. 29, 2019
Applicant:

The General Hospital Corporation, Boston, MA (US);

Inventors:

Hyunkwang Lee, Cambridge, MA (US);

Sehyo Yune, Somerville, MA (US);

Synho Do, Boston, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 3/045 (2023.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06N 3/045 (2023.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30016 (2013.01);
Abstract

A system for analyzing medical images to detect and classify a medical condition, the system includes an input for receiving a medical image, a convolutional neural network coupled to the input and configured to analyze the medical image to generate a prediction including a probability of the presence of the medical condition in the medical image and an atlas creation module coupled to the convolutional neural network and configured to generate an atlas comprising a set of image features and a set of training images. Each image feature is assigned with at least one training image associated with the medical condition. The system further includes a prediction basis selection module coupled to the convolutional neural network and the atlas and configured to create a prediction basis for the prediction generated by the convolutional neural network.


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Lee, Hyunkwang. (2024). System and method for analyzing medical images to detect and classify a medical condition using machine-learning and a case pertinent radiology atlas (U.S. Patent No. 11972567). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11972567

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