公开(公告)号：US20240177458A1

公开(公告)日：2024-05-30

申请号：US18058884

申请日：2022-11-28

Applicant: Siemens Healthcare GmbH

Inventor： Yue Zhang ,  Caius Constantin Suliman ,  Florin-Cristian Ghesu ,  Rui Liao

IPC: G06V10/774 ,  G06T7/00 ,  G06V10/26

CPC classification number: G06V10/774 ,  G06T7/0012 ,  G06V10/26 ,  G06T2207/30168 ,  G06V2201/03

Abstract: Systems and methods for training a machine learning based segmentation network are provided. A set of medical images, each depicting an anatomical object, in a first modality is received. For each respective medical image of the set of medical images, a synthetic image, depicting the anatomical object, in a second modality is generated based on the respective medical image. One or more augmented images are generated based on the synthetic image. One or more segmentations of the anatomical object are performed from the one or more augmented images using a machine learning based reference network. An uncertainty associated with segmenting the anatomical object from the respective medical image is computed based on results of the one or more segmentations. It is determined whether the respective medical image is suitable for training a machine learning based segmentation network based on the uncertainty. The machine learning based segmentation network is trained based on 1) the suitable medical images of the set of medical images and 2) annotations of the anatomical object determined using a machine learning based teacher network.

公开(公告)号：US20240169532A1

公开(公告)日：2024-05-23

申请号：US18510849

申请日：2023-11-16

Applicant: Dror Orthodesign Limited

Inventor： Yossi Avni ,  Eliyahu Haddad ,  Moshe Shvets ,  Eitan Suchard

IPC: G06T7/00 ,  A61C7/00 ,  A61C9/00 ,  B33Y50/00 ,  B33Y80/00 ,  G05B19/4099 ,  G06T5/00 ,  G06T7/11 ,  G06T7/174 ,  G06T7/55 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06T7/0012 ,  A61C7/002 ,  A61C9/0066 ,  B33Y50/00 ,  B33Y80/00 ,  G05B19/4099 ,  G06T5/002 ,  G06T7/11 ,  G06T7/174 ,  G06T7/55 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70 ,  A61C2007/004 ,  G05B2219/49023 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06V2201/03

Abstract: A method including: obtaining a plurality of images in which front teeth of a subject are visible; performing segmentation on selected images from the plurality of images to create a first segmentation mask and labeling each tooth in the selected images to provide a detailed segmentation map; generating a depth map of the front teeth; calculating a horizontal gradient of the depth map and a vertical moving average of a plurality of pixels of the horizontal gradient to receive depth gradients and flagging depth gradients where the vertical moving average exceeds a predefined threshold or is classified by an Artificial Neural Network or other machine learning model as abnormal; inputting the depth gradients and detailed segmentation map into a classifier to determine whether the front teeth are within predetermined parameters; and receiving a go or no-go classification from the classifier.

公开(公告)号：US20240164649A1

公开(公告)日：2024-05-23

申请号：US18324999

申请日：2023-05-28

Applicant: NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Chuan-Yu CHANG ,  Yen-Qun GAO

IPC: A61B5/01 ,  G06V40/16

CPC classification number: A61B5/01 ,  G06V40/171 ,  G06V2201/03

Abstract: A physiological signal measuring method includes a training's thermal image providing step, a training step, a classification model generating step, a measurement's thermal image providing step, a mask-wearing classifying step, a block identifying step and a measurement result generating step. The measurement's thermal image providing step includes providing a measurement's thermal image, which is an infrared thermal video for measuring. The measurement result generating step includes generating a measurement result of at least one physiological parameter of the subject according to a plurality of signals of the forehead block, and the mask block or the nasal cavity block.

公开(公告)号：US11991440B2

公开(公告)日：2024-05-21

申请号：US17443247

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: G06T7/30 ,  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 ,  G06T7/60 ,  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 ,  H04N23/60

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 for treatment-based photo guidance may include receiving a treatment plan, determining the movement of a first one or more teeth based on the movement of tooth models in the treatment plan, and determining one or more photo views for capturing the movement of the first one or more teeth.

公开(公告)号：US11985414B2

公开(公告)日：2024-05-14

申请号：US17443248

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 for image-based orthodontic treatment may include receiving image data of a patient's dentition and an orthodontic appliance, identifying, from the image data, the orthodontic appliance, calculating a misalignment height of a misalignment of the orthodontic appliance with respect to the patient's dentition, determining whether the misalignment height satisfies a misalignment threshold, and in response to satisfying the misalignment threshold, providing a notification.

公开(公告)号：US11984225B2

公开(公告)日：2024-05-14

申请号：US17367280

申请日：2021-07-02

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Kuan Tian ,  Cheng Jiang

IPC: G06T7/62 ,  G06F18/213 ,  G06F18/22 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06V10/10 ,  G06V10/25 ,  G06V10/26 ,  G06V10/82 ,  G06V30/19 ,  G06V30/262 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H50/20 ,  G06F18/213 ,  G06F18/22 ,  G06N20/00 ,  G06T7/0014 ,  G06T7/11 ,  G06T7/62 ,  G06V10/17 ,  G06V10/25 ,  G06V10/26 ,  G06V10/82 ,  G06V30/19147 ,  G06V30/19153 ,  G06V30/19173 ,  G06V30/274 ,  G16H30/20 ,  G16H30/40 ,  G16H50/70 ,  G06T2207/20021 ,  G06T2207/30096 ,  G06V2201/03

Abstract: A medical image processing method includes: obtaining a biological tissue image including a biological tissue, recognizing, in the biological tissue image, a first region of a lesion object in the biological tissue; recognizing a lesion attribute matching the lesion object; dividing an image region of the biological tissue in the biological tissue image into a plurality of quadrant regions; obtaining target quadrant position information of a quadrant region in which the first region is located; and generating medical service data according to the target quadrant position information and the lesion attribute.

公开(公告)号：US20240153252A1

公开(公告)日：2024-05-09

申请号：US18504769

申请日：2023-11-08

Applicant: ELUCID BIOIMAGING INC.

Inventor： Matthew PHILLIPS ,  Andrew J. BUCKLER

IPC: G06V10/774 ,  A61B5/024 ,  G06T7/00 ,  G06T7/73 ,  G06V20/70 ,  G16H50/50

CPC classification number: G06V10/774 ,  A61B5/024 ,  G06T7/0012 ,  G06T7/73 ,  G06V20/70 ,  G16H50/50 ,  G06T2207/20081 ,  G06T2207/30016 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/03

Abstract: Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.

公开(公告)号：US20240148321A1

公开(公告)日：2024-05-09

申请号：US18548911

申请日：2022-03-24

Applicant: Bodygram, Inc.

Inventor： Subas Chhatkuli ,  Kyohei Kamiyama ,  Chong Jin Koh

IPC: A61B5/00 ,  A61B5/107 ,  G06V10/82 ,  G06V40/16 ,  G16H10/60

CPC classification number: A61B5/4869 ,  A61B5/1072 ,  A61B5/1079 ,  G06V10/82 ,  G06V40/168 ,  G16H10/60 ,  G06V2201/03

Abstract: Systems and methods for generating a prediction of a body composition of a user using an image capturing device are disclosed. The systems and methods can be used to predict body compositions such as body fat percentage, water content percentage, muscle mass, bone mass, and so on, from a single user image. The methods include the steps of receiving one or more user images and one or more user parameters, generating one or more key points based on the one or more user images, and generating a prediction of the body composition of the user based on the one or more key points and the one or more user parameters, using a body composition deep learning network (DLN). In one embodiment, the body composition DLN comprises a face image DLN, a body feature DLN, and an output DLN.

公开(公告)号：US11978560B2

公开(公告)日：2024-05-07

申请号：US17951421

申请日：2022-09-23

Applicant: PAIGE.AI, Inc.

Inventor： Leo Grady ,  Christopher Kanan ,  Jorge Sergio Reis-Filho ,  Belma Dogdas ,  Matthew Houliston

IPC: G16H50/20 ,  G06F18/214 ,  G06T7/00 ,  G06V10/25 ,  G06V30/19 ,  G16H10/20 ,  G16H30/40

CPC classification number: G16H50/20 ,  G06F18/214 ,  G06T7/0012 ,  G06V10/25 ,  G06V30/19147 ,  G16H10/20 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.

公开(公告)号：US20240144704A1

公开(公告)日：2024-05-02

申请号：US18277950

申请日：2022-02-18

Applicant: The Broad Institute, Inc. ,  Massachusetts Avenue Technology ,  President and Fellows of Harvard College

Inventor： Xiao Wang ,  Jia Liu ,  Yichun He

IPC: G06V20/69 ,  G06V10/44 ,  G16H20/00

CPC classification number: G06V20/69 ,  G06V10/44 ,  G16H20/00 ,  G06V2201/03

Abstract: The present disclosure provides methods for identifying cells in an image. An apparatus for identifying cells in an image is also provided by the present disclosure. Further provided herein is a non-transitory computer-readable storage medium for performing the methods disclosed herein. Methods of diagnosing a disease or disorder and of treating a disease or disorder in a subject using the methods disclosed are also provided herein.