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公开(公告)号:US20250054148A1
公开(公告)日:2025-02-13
申请号:US18931249
申请日:2024-10-30
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , Laurent DEBRAUX , Guillaume GHYSELINCK , Thomas PELLISSARD
Abstract: A method for analyzing a photo to be analyzed representing a dental scene to be analyzed. Submission, to the trained second neural network, of the photo to be analyzed, so as to obtain a descriptor of the photo. The second neural network being trained via a historical learning base including more than 1000 created historical records added in the historical learning base. The historical record including a final image and of a created descriptor of the final image called “final descriptor.” The final image representing, hyper-realistically, the source dental scene after a simulation of a dental event, and being obtained by submitting, a source photo representing a source dental scene in a dental context, to a first neural network trained to transform first photos of first dental scenes into first hyper-realistic images to simulate the effect of a dental event on the first dental scenes.
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公开(公告)号:US20240261076A1
公开(公告)日:2024-08-08
申请号:US18615239
申请日:2024-03-25
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , Thomas PELLISSARD
Abstract: Method of analysis of a diagnostic dental representation showing a dental arch of a current patient in several dimensions. The method includes creation of a learning base including more than 1,000 historical dental structures. Each historical dental structure includes a historical dental representation showing an arch of a historical patient in several dimensions and a historical specification containing a value for at least a first attribute relating to a dental object associated with the historical dental representation. The method includes training of at least one deep learning device by use of the learning base. The method includes submission of the diagnostic dental representation to the deep learning device in such a manner that it determines, for the diagnostic dental representation, at least one value for the first attribute.
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公开(公告)号:US20230260112A1
公开(公告)日:2023-08-17
申请号:US18014375
申请日:2021-07-06
Applicant: DENTAL MONITORING
Inventor: Laurent DEBRAUX , Philippe SALAH , Thomas PELLISSARD , Guillaume GHYSELINCK
CPC classification number: G06T7/0012 , A61C9/0053 , G06T5/50 , G06T2207/30036
Abstract: A support to acquire dental images. The support includes at least a portion for fastening an image acquisition apparatus to the support. The support includes at least a portion that is degradable by composting and/or biodegradable.
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公开(公告)号:US20220346914A1
公开(公告)日:2022-11-03
申请号:US17867502
申请日:2022-07-18
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , Thomas PELLISSARD , Guillaume GHYSELINCK , Laurent DEBRAUX
IPC: A61C7/00 , G16H50/50 , G16H50/20 , G16H20/40 , G16H20/30 , A61C7/08 , A61C7/12 , A61C9/00 , G06T17/00 , G06T19/20
Abstract: A method of determining an optimal switchover moment for a hybrid orthodontic treatment of teeth. Creation of a digital three-dimensional model of at least part of a dental arch. Deformation of the initial reference model until the tooth models are in a target position. Acquisition of at least one two-dimensional image of the teeth. Deformation of the initial reference model until the at least one updated image corresponds to the initial reference model. Determination, from the updated reference model and from said target reference model, of a plurality of remaining-treatments for moving the teeth from their position represented in the updated reference model into their position represented in the target reference model. Determination of a profile including at least one value for an evaluation parameter. Evaluation of each profile by an evaluation rule. Determination the profile of which is optimal for replacing an orthodontic appliance with an aligner.
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公开(公告)号:US20210272281A1
公开(公告)日:2021-09-02
申请号:US17259519
申请日:2019-07-10
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , THOMAS PELLISSARD , Guillaume GHYSELINCK , Laurent DEBRAIX
Abstract: Method for cutting a three-dimensional model of a dental scene, or “scene model.” The method includes acquiring a view of the scene model, called the “analysis view.” The method includes analyzing the analysis view by a neural network in order to identify, in the analysis view, at least one elementary zone representing an element of the dental scene, and assigning a value to at least one attribute of the elementary zone. The method includes identifying a region of the scene model represented by the elementary zone on the analysis view, and assigning, in the region, a value to an attribute of the scene model in accordance with the value of the attribute of the elementary zone.
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公开(公告)号:US20180303580A1
公开(公告)日:2018-10-25
申请号:US15953744
申请日:2018-04-16
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , Laurent Debraux , Thomas Pellissard , Guillaume Ghyselinck
Abstract: An imaging device including a support, a mouth retractor fastened to the support and defining a retractor opening and structure for fastening an image acquisition apparatus to the support in a position in which the acquisition apparatus is oriented so as to receive an image of the retractor opening.
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公开(公告)号:US20180185125A1
公开(公告)日:2018-07-05
申请号:US15522523
申请日:2015-10-27
Applicant: Dental Monitoring S.A.S.
Inventor: Philippe SALAH , William AYACHE , Laurent DEBRAUX , Guillaume GHYSELINCK , Thomas PELLISSARD
CPC classification number: A61C9/0053 , A61B1/00009 , A61B1/32 , A61B5/0088 , A61B5/064 , A61B5/4547 , A61B5/742 , A61B2576/02 , A61C7/002 , A61C9/0046 , A61C11/00 , A61C19/066 , A61C19/10 , A61C2007/004 , G01J3/00 , G01J3/508 , G01J3/52 , G06K9/00 , G06K9/00214 , G06K9/6202 , G06K2209/05 , G06T7/0012 , G06T7/251 , G06T7/33 , G06T7/55 , G06T7/73 , G06T2207/30004 , G06T2207/30036
Abstract: A method for monitoring the shape of teeth including: producing a three-dimensional digital model of at least one portion of an arch of the patient or “initial reference model”; acquiring at least one two-dimensional image of the arches, referred to as “updated image”, under actual acquisition conditions; analysing each updated image and producing an updated map relating to a piece of discriminating information; optionally determining rough virtual acquisition conditions that approximate the actual acquisition conditions; searching each updated image for a final reference model corresponding to the shape of the teeth, and optionally to the positioning of the teeth, during the acquisition of the updated image; and comparing the shapes of the initial reference model and of the reference model obtained at the end of the preceding steps, referred to as “final reference model”, in order to determine the deformation and/or the movement of teeth between steps a) and b).
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公开(公告)号:US20240041569A1
公开(公告)日:2024-02-08
申请号:US18380516
申请日:2023-10-16
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , Thomas Pellissard , Guillaume Ghyselinck , Laurent Debraux
IPC: A61C9/00 , A61C7/00 , A61C7/14 , A61C7/36 , G06T7/60 , G06T7/149 , G06T7/00 , G06T7/11 , G06N3/04 , G06N3/08 , G16H10/60 , G16H30/40 , A61C7/08 , G06V10/82
CPC classification number: A61C9/0046 , A61C7/002 , A61C7/14 , A61C7/36 , A61C9/004 , G06T7/60 , G06T7/149 , G06T7/0016 , G06T7/11 , G06N3/04 , G06N3/08 , G16H10/60 , G16H30/40 , A61C7/08 , G06V10/82 , G06T2207/30036 , G06T2207/20081 , G06T2207/20084
Abstract: A method and associated system. Such is for orthodontic treatment or for assessing shape of an aligner. Within an example, there is participation in communication of an assessment of the suitability of an aligner as a function of the value of: a tooth attribute of an analysis tooth zone of an analysis image, the tooth attribute relating to a separation between the tooth represented by the analysis tooth zone and the aligner represented on the analysis image, or an image attribute of an analysis image, the image attribute relating to a separation between at least one tooth represented on the analysis image and the aligner represented on the analysis image. The analysis image is an image of an aligner in a service position in which it is worn by the patient acquired by a cellphone more than 1 week, and is a photograph, or an image extracted from a film.
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公开(公告)号:US20230334549A1
公开(公告)日:2023-10-19
申请号:US18025024
申请日:2021-09-08
Applicant: DENTAL MONITORING
Inventor: Thomas PELLISSARD , Philippe SALAH
IPC: G06Q30/0601 , G06T7/00 , A61B1/24
CPC classification number: G06Q30/0631 , G06T7/0012 , A61B1/24 , G06T2207/30036 , G06T2207/20021 , G06T2207/20084 , G06T2207/20081 , A61B5/0059
Abstract: A method for selecting a dental product. The method includes: a) acquiring an updated image representing a dental arch of a target consumer, and optionally, first additional information; b) analyzing the updated image by a processing computer, so as to determine a value for a dental attribute relating to the dental situation; c) selecting as a function of the value, and optionally of the first additional information and optionally of second additional information stored, prior to step a), in a database, —a relevant dental product in a database, and, preferably—a relevant dental care professional in a database; d) presenting the consumer with a response relative to the relevant dental product and, preferably, to the relevant dental professional, and/or—delivering the relevant dental product to the consumer, and/or—placing the consumer in contact with a dental care professional selected in step c).
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公开(公告)号:US20220139028A1
公开(公告)日:2022-05-05
申请号:US17259504
申请日:2019-07-10
Applicant: DENTAL MONITORING
Inventor: Philippe SALAH , THOMAS PELLISSARD , Guillaume GHYSELINCK , Laurent DEBRAUX
Abstract: A method for transforming an “original” view of an “original” digital three-dimensional model into a hyper-realistic view. The method includes creating a “transformation” learning base of more than 1000 “transformation” records. Each transformation record includes a “transformation” photo representing a scene, and a view of a “transformation” digital three-dimensional model modeling the scene, or “transformation view”, the transformation view representing the scene in the same way as the transformation photo. The method includes training at least one “transformation” neural network, by way of the transformation learning base. The method includes submitting the original view to the at least one transformation neural network, such that it transforms it into a hyper-realistic view.
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