公开(公告)号：US20240177308A1

公开(公告)日：2024-05-30

申请号：US18515368

申请日：2023-11-21

Applicant: Aidoc Medical Ltd

Inventor： Ido REISS ,  Ronny Sharon LEVANDA ,  Uri Goren HORESH ,  Idan BASSUKEVITZ

IPC: G06T7/00 ,  G06V10/776

CPC classification number: G06T7/0012 ,  G06V10/776 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/03

Abstract: There is provided a computer implemented method of scheduling analysis of at least one series of a study of medical images of a subject, comprising: predicting a time when at least one series of the study which is not yet available for processing, will be available for processing, predicting at least one parameter of the at least one series which is not yet available for processing, and obtaining the at least one parameter for series which are available, selecting a target series according to a combination of the predicted time and the at least one parameter, in response to the target series not yet available for processing, waiting for the target series to become available for processing, and in response to the target series being available for processing, feeding the target series into an image analysis machine learning model.

公开(公告)号：US11991478B2

公开(公告)日：2024-05-21

申请号：US17118535

申请日：2020-12-10

Applicant: FUJIFILM Corporation

Inventor： Shumpei Kamon

IPC: H04N7/00 ,  A61B1/00 ,  G06F18/2431 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82 ,  H04N5/76 ,  H04N7/18

CPC classification number: H04N7/183 ,  A61B1/000094 ,  A61B1/000096 ,  G06F18/2431 ,  G06T7/0012 ,  G06V10/764 ,  G06V10/82 ,  H04N5/76 ,  G06T2207/10068 ,  G06T2207/30096 ,  G06V2201/03

Abstract: There are provided a medical image processing apparatus, a medical image processing system, a medical image processing method, and a program that allow an observer to grasp a region that contributes to classification in automatic classification of a medical image. A medical image processing apparatus includes an image acquisition unit (40) that acquires a captured image (38) generated through imaging of a living body; a classification unit (48) that classifies the captured image into two or more classes; an image generation unit (50) that generates a region image depicting a location of a region that contributes to classification performed using the classification unit in the captured image subjected to the classification performed using the classification unit; and a display signal transmission unit (44) that transmits, to a display device, a display signal representing the captured image, a classification result derived using the classification unit, and the region image. The display signal transmission unit transmits, to the display device, a display signal for displaying the region image separately from the captured image.

公开(公告)号：US11991439B2

公开(公告)日：2024-05-21

申请号：US17443244

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: A61C7/08 ,  A61B1/24 ,  A61B5/00 ,  A61C7/00 ,  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 ,  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 dental treatment may include receiving photos of a patient's dentition, gathering treatment parameters for at treatment plan. The treatment parameters may represent attributes of the treatment plan selected by a doctor for the patient's dentition of a patient. The method may include generating, using the photos and the treatment parameters, one or more intelligent guidance rules to guide application of at least a portion of the treatment parameters to the patient's dentition, generating instructions to apply the intelligent patient guidance rules to the patient's dentition, and providing the instructions to the patient to apply the at least a portion of the treatment plan in accordance with the intelligent patient guidance rules.

公开(公告)号：US11989932B1

公开(公告)日：2024-05-21

申请号：US18512559

申请日：2023-11-17

Applicant: Malek Adjouadi ,  Mohammad Eslami ,  Solale Tabarestani

Inventor： Malek Adjouadi ,  Mohammad Eslami ,  Solale Tabarestani

IPC: G06T7/00 ,  A61B5/00 ,  G06T11/00 ,  G06V10/77 ,  G06V10/80 ,  G16H50/20

CPC classification number: G06V10/811 ,  A61B5/4088 ,  G06T7/0016 ,  G06T11/001 ,  G06V10/7715 ,  G16H50/20 ,  G06T2207/10024 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/30016 ,  G06T2207/30204 ,  G06V2201/03

Abstract: Systems and methods are provided for color-coded visualization to aid in diagnosis and prognosis of Alzheimer's disease (AD). The color-coded visualization mechanism can be driven by an integrated machine learning (ML) model, which can take as its inputs neuroimaging (e.g., magnetic resonance imaging (MRI), positron emission tomography (PET)) data, neuropsychological test scores, the cerebrospinal fluid (CSF) biomarker, and/or risk factors. With these inputs, the ML model can generate a color-coded visualization of the disease state.

公开(公告)号：US20240161313A1

公开(公告)日：2024-05-16

申请号：US18505732

申请日：2023-11-09

Applicant: NEC Laboratories America, Inc.

Inventor： Deep Patel ,  Alexandru Niculescu-Mizil ,  Iain Melvin ,  Seonghyeon Moon

IPC: G06T7/246 ,  G06T7/292 ,  G06V10/82 ,  G06V20/40 ,  G06V20/52 ,  G06V40/10 ,  G16H15/00 ,  G16H40/67

CPC classification number: G06T7/248 ,  G06T7/292 ,  G06V10/82 ,  G06V20/41 ,  G06V20/52 ,  G06V40/10 ,  G16H15/00 ,  G16H40/67 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30196 ,  G06V2201/03

Abstract: Methods and systems for tracking movement include performing person detection in frames from multiple video streams to identify detection images. Visual and location information from the detection images are combined to generate scores for pairs of detection images across the multiple video streams and across frames of respective video streams. A pairwise detection graph is generated using the detection images as nodes and the scores as weighted edges. Movement of an individual is tracked based a constrained answer set programming problem, with constraints determined based on matching scores and logical assumptions. An action responsive to the tracked movement is performed. Tracking of movement of a patient in a healthcare facility can be used to inform treatment decisions by healthcare professionals.

公开(公告)号：US20240153644A1

公开(公告)日：2024-05-09

申请号：US18407286

申请日：2024-01-08

Applicant: Axial Medical Printing Limited

Inventor： Daniel CRAWFORD ,  Rory HANRATTY ,  Luke DONNELLY ,  Luis TRINDADE ,  Thomas SCHWARZ ,  Adam HARPUR

IPC: G16H50/50 ,  G06T7/00 ,  G06T7/62 ,  G06T15/04 ,  G06T15/06 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40

CPC classification number: G16H50/50 ,  G06T7/0016 ,  G06T7/62 ,  G06T15/04 ,  G06T15/06 ,  G06T17/20 ,  G06V10/26 ,  G06V10/764 ,  G06V20/70 ,  G16H30/40 ,  G06T2210/21 ,  G06T2210/41 ,  G06V2201/03

Abstract: Systems and methods are provided for multi-schema analysis of patient specific anatomical features from medical images. The system may receive medical images of a patient and metadata associated with the medical images indicative of a selected pathology, and automatically classify the medical images using a segmentation algorithm. The system may use an anatomical feature identification algorithm to identify one or more patient specific anatomical features within the medical images by exploring an anatomical knowledge dataset. A 3D surface mesh model may be generated representing the one or more classified patient specific anatomical features, such that information may be extracted from the 3D surface mesh model based on the selected pathology. Physiological information associated with the selected pathology for the 3D surface mesh model may be generated based on the extracted information.

公开(公告)号：US11978209B2

公开(公告)日：2024-05-07

申请号：US17809241

申请日：2022-06-27

Applicant: FUJIFILM Corporation

Inventor： Masahiro Kubo

IPC: G06T7/00 ,  A61B1/00 ,  A61B1/06 ,  G06T3/40 ,  G06T7/11 ,  G06T7/33 ,  G06T11/20 ,  G06V10/74

CPC classification number: G06T7/0016 ,  A61B1/000094 ,  A61B1/0005 ,  A61B1/0638 ,  G06T3/40 ,  G06T7/11 ,  G06T7/337 ,  G06T11/203 ,  G06V10/761 ,  A61B1/0004 ,  G06T2207/20104 ,  G06T2207/20212 ,  G06T2207/30096 ,  G06V2201/03

Abstract: A medical image processing device a reference image that is a medical image with which boundary line information related to a boundary line that is a boundary between an abnormal region and a normal region and landmark information related to a landmark that is a characteristic structure of the subject are associated and a captured image that is the medical image captured in real time, detects the landmark from the captured image, calculates a ratio of match between the landmark included in the reference image and the landmark included in the captured image, estimates a correspondence relationship between the reference image and the captured image on the basis of the ratio of match and information regarding the landmarks included in the reference image and the captured image, and generates a superimposition image in which the boundary line associated with the reference image is superimposed on the captured image on the basis of the correspondence relationship.

公开(公告)号：US11967181B2

公开(公告)日：2024-04-23

申请号：US17435306

申请日：2021-02-09

Applicant: BOE Technology Group Co., Ltd.

Inventor： Menglei Zhang

IPC: G06V10/25 ,  G06T7/00 ,  G06V10/26 ,  G06V10/77 ,  G06V10/82 ,  G06V40/18

CPC classification number: G06V40/197 ,  G06T7/0012 ,  G06V10/25 ,  G06V10/267 ,  G06V10/7715 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06T2207/30096 ,  G06V2201/03

Abstract: The present disclosure provides a method and a device for retina image recognition, an electronic equipment, and a storage medium, the method including: acquiring a retinal image; classifying the retinal image by using a first neural network model to obtain an image classification result; if the image classification result meets a preset condition, segmenting the retinal image by using a second neural network model to obtain an image segmentation result; generating a recognition result of the retinal image according to the image segmentation result and in combination with a decision tree model.

公开(公告)号：US11967069B2

公开(公告)日：2024-04-23

申请号：US17515170

申请日：2021-10-29

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Jun Zhang ,  Kezhou Yan ,  Jianhua Yao ,  Xiao Han

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G06T7/187 ,  G06T7/70 ,  G06V20/69 ,  G16H10/40 ,  G16H30/40 ,  G16H50/20 ,  G16H70/60

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/187 ,  G06T7/70 ,  G06V20/695 ,  G06V20/698 ,  G16H10/40 ,  G16H30/40 ,  G16H50/20 ,  G16H70/60 ,  G06T2207/10056 ,  G06T2207/20036 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06T2207/30242 ,  G06V2201/03

Abstract: This application provides a pathological section image processing method performed by a computer device. The method includes: obtaining stained images of a pathological section after cell membrane staining; determining cell nucleus positions of cancer cells in a stained image under an ith field of view in the n fields of view; generating a cell membrane description result of the stained image under the ith field of view, the cell membrane description result being used for indicating completeness and staining intensity of the cell membrane staining; determining quantities of cells of types in the stained image under the ith field of view according to the cell nucleus positions and the cell membrane description result; and determining an analysis result of the pathological section according to quantities of the cells of types in the stained images under the n fields of view.

公开(公告)号：US20240127516A1

公开(公告)日：2024-04-18

申请号：US18476838

申请日：2023-09-28

Applicant: Siemens Healthcare GmbH

Inventor： Andreas FIESELMANN ,  Steffen KAPPLER ,  Christian HUEMMER ,  Ramyar BINIAZAN

IPC: G06T11/60 ,  G06V10/74 ,  G06V10/774 ,  G16H30/40

CPC classification number: G06T11/60 ,  G06V10/761 ,  G06V10/774 ,  G16H30/40 ,  G06T2210/41 ,  G06V2201/03

Abstract: A computer-implemented method, comprising: receiving input data including a medical image and an in-image annotation; applying a first function to the input data to determine a relevance value of pixels in the image and a relevance map; applying a second function to the medical image to generate a de-identified medical image; applying a trained function to the medical image and the de-identified medical image to determine a first property in the medical image and a second property in the de-identified medical image; applying a comparison function to the first property and the second property to determine a similarity value, wherein in response to the similarity value being below a similarity threshold, the relevance map is adjusted and the applying of the second function, the applying of the trained function and the applying of the comparison function are repeated; and providing the de-identified medical image and the in-image annotation.