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:
Aug. 23, 2022

Filed:

Apr. 12, 2018
Applicant:

Kheiron Medical Technologies Ltd, London, GB;

Inventors:

Andreas Heindl, London, GB;

Galvin Khara, London, GB;

Joseph Yearsley, London, GB;

Michael O'Neill, London, GB;

Peter Kecskemethy, London, GB;

Tobias Rijken, London, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); G06N 3/08 (2006.01); G06T 7/143 (2017.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01); G06T 7/136 (2017.01); G06T 7/33 (2017.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); A61B 5/055 (2013.01); A61B 5/4312 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7282 (2013.01); A61B 6/032 (2013.01); A61B 6/502 (2013.01); A61B 6/5217 (2013.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/0016 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/143 (2017.01); G06T 7/337 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01);
Abstract

The present invention relates to deep learning for automated segmentation of a medical image. More particularly, the present invention relates to deep learning for automated segmentation of anatomical regions and lesions in mammography screening and clinical assessment. According to a first aspect, there is provided a computer-aided method of segmenting regions in medical images, the method comprising the steps of: receiving input data; analysing the input data by identifying one or more regions; determining one or more characteristics for the one or more regions in the input data; and generating output segmentation data in dependence upon the characteristics for the one or more regions.


Find Patent Forward Citations

Heindl, Andreas. (2022). Segmentation of anatomical regions and lesions (U.S. Patent No. 11423540). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11423540

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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