公开(公告)号：US11972572B2

公开(公告)日：2024-04-30

申请号：US17580554

申请日：2022-01-20

Applicant: Align Technology, Inc.

Inventor： Mikhail Minchenkov ,  Ran Katz ,  Pavel Agniashvili ,  Chad Clayton Brown ,  Jonathan Coslovsky

IPC: G06T15/00 ,  A61C9/00 ,  A61C13/34 ,  G06F18/2431 ,  G06N3/044 ,  G06N3/08 ,  G06T7/00 ,  G06T7/11 ,  G06T17/00 ,  G06T19/20 ,  G06V10/44 ,  G06V10/82 ,  G06V20/64

CPC classification number: G06T7/11 ,  A61C9/0053 ,  A61C13/34 ,  G06F18/2431 ,  G06N3/044 ,  G06N3/08 ,  G06T7/0012 ,  G06T17/00 ,  G06T19/20 ,  G06V10/454 ,  G06V10/82 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2207/30036 ,  G06T2207/30052 ,  G06T2210/41 ,  G06T2219/008 ,  G06T2219/2021 ,  G06V20/653 ,  G06V2201/03

Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.

公开(公告)号：US11971363B2

公开(公告)日：2024-04-30

申请号：US17288637

申请日：2019-10-25

Applicant: NIPRO CORPORATION

Inventor： Takuma Satou ,  Tadashi Kabutomori ,  Masamichi Takasugi

IPC: G01N21/90 ,  G06T7/00

CPC classification number: G01N21/9027 ,  G01N21/90 ,  G06T7/0008 ,  G01N2201/02 ,  G06T2207/30112 ,  G06V2201/03

Abstract: A foreign matter inspection system that is less likely to misidentify a crack as a foreign matter during an image inspection in which a vibration is applied to a powder contained in a bag-like container. The foreign matter inspection system includes a vibration device configured to apply a vibration to a container, a photography device configured to optically photograph the inside of the container through a transparent area, and a determination device configured to determine whether a foreign matter is present inside the container based on an image of the container photographed by the photography device. The vibration device alternately applies weak vibrations W and strong vibrations S to the container. The determination device determines whether the foreign matter is present inside the container based on the image of the container photographed by the photography device when the vibration device applies the weak vibrations W.

公开(公告)号：US20240127929A1

公开(公告)日：2024-04-18

申请号：US17966948

申请日：2022-10-17

Applicant: Shanghai United Imaging Intelligence Co., LTD.

Inventor： Arun Innanje ,  Abhishek Sharma ,  Xiao Chen ,  Zhanhong Wei ,  Terrence Chen

IPC: G16H30/40 ,  G06F3/0482 ,  G06F3/0484 ,  G06F40/169 ,  G06V10/776 ,  G06V20/70

CPC classification number: G16H30/40 ,  G06F3/0482 ,  G06F3/0484 ,  G06F40/169 ,  G06V10/776 ,  G06V20/70 ,  G06V2201/03

Abstract: Disclosed is a method and a system for reviewing annotated medical images. The method includes receiving a dataset of medical images comprising one or more pre-existing annotations therein. The method also includes displaying, via a first graphical user interface, at a given instance, one of the medical images, and detecting a first input comprising a modification of at least one pre-existing annotation in the one of the medical images being displayed to define at least one modified annotation therefor and a reference for the at least one modified annotation to be associated therewith. The method also includes displaying, via a second graphical user interface, the one of the medical images having the at least one modified annotation and the associated reference for the at least one modified annotation, and detecting a second input comprising one of verification, correction, or rejection of the at least one modified annotation.

公开(公告)号：US20240127440A1

公开(公告)日：2024-04-18

申请号：US18481206

申请日：2023-10-04

Applicant: FUJIFILM Corporation

Inventor： Taro HATSUTANI

IPC: G06T7/00 ,  G06T3/60 ,  G06T7/50 ,  G06V10/25 ,  G06V10/74

CPC classification number: G06T7/0012 ,  G06T3/60 ,  G06T7/50 ,  G06V10/25 ,  G06V10/761 ,  G06V2201/03 ,  G06V2201/07

Abstract: An object of the present invention is to provide a manufacturing method of a learning model, a learning model, an estimation method, an image processing system, and a program, which are capable of efficiently generating a large amount of learning data and of performing training on a learning model to which the efficiently generated large amount of learning data is applied.
A manufacturing method of a learning model includes acquiring a region of a normal object included in a processing target image as a first mask, generating a second mask by changing a state of the first mask, and performing training to estimate a difference between the second mask and the first mask as a region-of-interest or performing training to estimate the first mask from the second mask, using the first mask and the second mask as learning data.

公开(公告)号：US11962892B2

公开(公告)日：2024-04-16

申请号：US17443243

申请日：2021-07-22

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Christopher E. Cramer ,  Rajiv Venkata ,  Leela Parvathaneni ,  Phillip Thomas Harris ,  Sravani Gurijala ,  Svetozar Hubenov ,  Sebastien Hareng ,  Guotu Li ,  Yun Gao ,  Chad Clayton Brown

IPC: H04N23/60 ,  A61B1/24 ,  A61B5/00 ,  A61C7/00 ,  A61C7/08 ,  A61C7/14 ,  A61C9/00 ,  G06F18/21 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06T7/00 ,  G06T7/246 ,  G06T7/30 ,  G06T7/60 ,  G06T7/70 ,  G06T7/73 ,  G06T7/80 ,  G06T17/00 ,  G06T17/20 ,  G06T19/00 ,  G06V10/44 ,  G06V10/56 ,  G06V10/98 ,  G16H10/60 ,  G16H20/40 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  G16H50/50 ,  G16H70/20 ,  G16H80/00

CPC classification number: H04N23/64 ,  A61B1/24 ,  A61B5/0088 ,  A61C7/002 ,  A61C7/08 ,  A61C7/146 ,  A61C9/0053 ,  G06F18/217 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/251 ,  G06T7/30 ,  G06T7/60 ,  G06T7/70 ,  G06T7/74 ,  G06T7/80 ,  G06T17/00 ,  G06T17/20 ,  G06T19/00 ,  G06V10/443 ,  G06V10/56 ,  G06V10/98 ,  G16H10/60 ,  G16H20/40 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  G16H50/50 ,  G16H70/20 ,  G16H80/00 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/30244 ,  G06T2210/41 ,  G06V2201/03

Abstract: A method of dental treatment may include receiving photos of a person's dentition, identifying a stage of a treatment plan administered to the person's dentition, gathering a three-dimensional (3D) model of the person's dentition corresponding to the stage of the treatment plan, projecting attributes of the 3D model of the person's dentition onto an image plane to get a projected representation of the person's dentition at the stage of the treatment plan, comparing the photos to the projected representation to derive an error image representing the comparison, and analyzing the error image for discrepancies, wherein the discrepancies represent one or more deviations of the person's dentition from the stage of the treatment plan.

公开(公告)号：US11959848B2

公开(公告)日：2024-04-16

申请号：US18146881

申请日：2022-12-27

Applicant: Ventana Medical Systems, Inc.

Inventor： Joerg Bredno ,  Auranuch Lorsakul

IPC: G01N15/02 ,  G01N15/0227 ,  G01N15/14 ,  G06F18/232 ,  G06K1/00 ,  G06V10/25 ,  G06V10/762 ,  G06V20/69 ,  G16H10/40 ,  G16H30/40 ,  G16H50/70

CPC classification number: G01N15/0227 ,  G01N15/1463 ,  G06F18/232 ,  G06K1/00 ,  G06V10/25 ,  G06V10/763 ,  G06V20/695 ,  G16H10/40 ,  G16H30/40 ,  G16H50/70 ,  G01N2015/1497 ,  G06V2201/03

Abstract: The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and/or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and/or intensities in the input image, wherein each sub-region represents biologically meaningful data.

公开(公告)号：US11950922B2

公开(公告)日：2024-04-09

申请号：US18137447

申请日：2023-04-21

Applicant: INHANDPLUS INC.

Inventor： Hwiwon Lee ,  Nam Eok Kim

IPC: A61B5/00 ,  G06F18/214 ,  G06N20/00 ,  G06T7/20 ,  G06T7/246 ,  G06V10/94 ,  G06V20/40 ,  G06V40/20 ,  G08C17/02 ,  G16H20/10 ,  G16H40/63 ,  G16H50/20 ,  H04N5/765 ,  H04W76/10

CPC classification number: A61B5/4833 ,  G06F18/2148 ,  G06N20/00 ,  G06T7/20 ,  G06T7/251 ,  G06V10/95 ,  G06V20/41 ,  G06V40/20 ,  G08C17/02 ,  G16H20/10 ,  G16H40/63 ,  G16H50/20 ,  H04N5/765 ,  H04W76/10 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06V2201/03

Abstract: A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.

公开(公告)号：US20240112450A1

公开(公告)日：2024-04-04

申请号：US18537951

申请日：2023-12-13

Applicant: OLYMPUS CORPORATION

Inventor： Koichi SHINTANI ,  Akira TANI ,  Osamu NONAKA ,  Manabu ICHIKAWA ,  Tomoko GOCHO

IPC: G06V10/774 ,  G06V10/764

CPC classification number: G06V10/774 ,  G06V10/764 ,  G06V2201/03 ,  G06V2201/10

Abstract: An information processing device of the present invention is capable of collaboration with a learning device to determine whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing device comprising at least one or a plurality of classifying processors that classify image groups constituting training data candidates, within an image group from the first endoscope that has been newly acquired, or an image group from a second endoscope, using the image group that has been obtained at the first time, when the first inference model was created.

公开(公告)号：US20240112357A1

公开(公告)日：2024-04-04

申请号：US18470100

申请日：2023-09-19

Applicant: FUJIFILM Corporation

Inventor： Tetsurou EBATA

IPC: G06T7/33 ,  G06T7/50 ,  G06T7/73 ,  G06T7/90 ,  G06V10/25

CPC classification number: G06T7/33 ,  G06T7/50 ,  G06T7/73 ,  G06T7/90 ,  G06V10/25 ,  G06T2207/10024 ,  G06T2207/10132 ,  G06T2207/20221 ,  G06T2207/30101 ,  G06T2207/30208 ,  G06T2207/30244 ,  G06V2201/03

Abstract: The image processing apparatus acquires an optical camera image and an ultrasound image captured in a state where a plurality of markers that have a first feature identifiable by the optical camera image and a second feature identifiable by the ultrasound image and that are distinguishable from other markers based on the first feature and the second feature are provided on the subject, detects a region of interest from the ultrasound image, detects a first marker image from the optical camera image, detects a second marker image from the ultrasound image, and performs registration between the optical camera image and the ultrasound image based on the first feature of the first marker image and the second feature of the second marker image and displays an image representing the region of interest superimposed on the optical camera image.

公开(公告)号：US20240108209A1

公开(公告)日：2024-04-04

申请号：US18525800

申请日：2023-11-30

Applicant: COSMO ARTIFICIAL INTELLIGENCE - AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: A61B1/31 ,  A61B1/00 ,  A61B5/00 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T7/70 ,  G06T11/00 ,  G06T11/20 ,  G06T11/60 ,  G06V10/20 ,  G06V10/25 ,  G06V10/82 ,  G06V20/40 ,  G16H30/20

CPC classification number: A61B1/31 ,  A61B1/000094 ,  A61B1/000095 ,  A61B1/000096 ,  A61B1/00055 ,  A61B5/7264 ,  A61B5/7267 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/70 ,  G06T11/001 ,  G06T11/203 ,  G06T11/60 ,  G06V10/25 ,  G06V10/255 ,  G06V10/82 ,  G06V20/40 ,  G06V20/49 ,  G16H30/20 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30032 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06V2201/03 ,  G06V2201/032

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.