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. 11, 2022

Filed:

Apr. 13, 2020
Applicant:

Diagnocat, Inc., Wilmington, DE (US);

Inventors:

Matvey Dmitrievich Ezhov, Moscow, RU;

Vladimir Leonidovich Aleksandrovskiy, Moscow, RU;

Evgeny Sergeevich Shumilov, Moscow, RU;

Maxim Gusarev, Tiraspol, MD;

Dmitrii Morozov, Voronezh, RU;

Ivan Barabanau, Mogilev, BY;

Valentin Denisenkov, Saratov oblast, RU;

Alexey Timonkin, Sarov, RU;

Valentin Fedosov, Saint Petersburg, RU;

Artem Kravtsov, Moscow, RU;

Azat Akhtyamov, Moscow, RU;

Vasiliy Igorevich Grachev, Moscow, RU;

David Manulis, Moscow, RU;

Alexandr Schadnev, Moskovskaya oblast, RU;

Yan Kalika, San Francisco, CA (US);

Assignee:

DGNCT LLC, Miami, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 6/14 (2006.01); G06K 9/62 (2022.01); A61B 5/00 (2006.01); G06N 3/08 (2006.01); G06V 10/22 (2022.01); G06V 10/24 (2022.01); G06V 10/46 (2022.01);
U.S. Cl.
CPC ...
A61B 6/145 (2013.01); A61B 5/0022 (2013.01); A61B 5/4842 (2013.01); A61B 5/7275 (2013.01); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); G06V 10/22 (2022.01); G06V 10/243 (2022.01); G06V 10/462 (2022.01); G06V 2201/033 (2022.01);
Abstract

A system and method for automated localization, enumeration, and diagnoses of a tooth/condition. The system detects a condition for at least one defined localized and enumerated tooth structure within a cropped image from a full mouth series based on any one of a pixel-level prediction, wherein said condition is detected by at least one of detecting or segmenting a condition on at least one of the enumerated tooth structures within the cropped image by a 2-D R-CNN.


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