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.
Type:
Grant
Filed:
April 13, 2020
Date of Patent:
October 11, 2022
Assignee:
DGNCT LLC
Inventors:
Matvey Dmitrievich Ezhov, Vladimir Leonidovich Aleksandrovskiy, Evgeny Sergeevich Shumilov, Maxim Gusarev, Dmitrii Morozov, Ivan Barabanau, Valentin Denisenkov, Alexey Timonkin, Valentin Fedosov, Artem Kravtsov, Azat Akhtyamov, Vasiliy Igorevich Grachev, David Manulis, Alexandr Schadnev, Yan Kalika
Abstract: A method for constructing a panorama of teeth arch with elements of interest emphasized, comprising the steps of: extracting a teeth arch from a volumetric image; unfolding the extracted teeth arch into a panoramic ribbon; assigning weighted priorities to at least two points in the panoramic ribbon, wherein priorities are weighted higher for points inside or proximal to elements of interest and applying a weighted summation in a direction perpendicular to teeth arch resulting in the panorama with elements of interest emphasized.
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