公开(公告)号：US12224061B2

公开(公告)日：2025-02-11

申请号：US16837733

申请日：2020-04-01

Applicant: OPTOS PLC

Inventor： Gavin Robertson ,  Alan Duncan Fleming

IPC: G16H50/20 ,  G06T5/40 ,  G06T7/00 ,  G06T7/11 ,  G06T7/155 ,  G06V10/764 ,  G06V10/82 ,  G06V40/18 ,  G16H30/40 ,  G16H50/30

Abstract: A computer-implemented method, system, and computer-readable medium, for determining a level of hypertension of a person. Image data defining a retinal image of a retina of the person that has been captured by a retinal imaging system is acquired. Processing the image data is performed to identify a plurality of vessel segments present in the retinal image. Determining is performed of respective widths of vessel segments of at least a subset of the plurality of vessel segments present in the retinal image. Calculating, as a vascular summary metric, at least one average value or median value of the determined widths of the vessel segments present in the retinal image, is performed to determine a level of hypertension by which the person has been affected.

公开(公告)号：US20250005756A1

公开(公告)日：2025-01-02

申请号：US18827077

申请日：2024-09-06

Applicant: Xilis, Inc.

Inventor： Xiling Shen ,  Zhaohui Wang ,  William Quayle ,  Garrett Jenkinson

IPC: G06T7/00 ,  G01N1/30 ,  G01N33/50 ,  G06T7/11 ,  G06T7/155

Abstract: Methods, systems, and apparatus for an imaging-based MicroOrganoSphere drug assay. In one aspect, a method includes obtaining image data of a well plate comprising a plurality of MicroOrganoSpheres; in response to applying a machine learning model configured to identify instances of at least some of the plurality of MicroOrganoSpheres in the image data, obtaining (i) indications indicative of each instance of the MicroOrganoSpheres and (ii) attributes of each instance of the MicroOrganoSpheres; and normalizing, based on the indications and the attributes, a well-to-well variation in the well plate.

公开(公告)号：US20240378723A1

公开(公告)日：2024-11-14

申请号：US18573108

申请日：2021-07-06

Applicant: Siemens Healthcare Diagnostics Inc.

Inventor： Mohiudeen Azhar ,  Abhijeet A. Joshi ,  Vaishnav Ram Savarni K R

IPC: G06T7/00 ,  G06T3/4053 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155

Abstract: A method and a system for processing medical images are provided. In one aspect, the method includes receiving the medical image, wherein the medical image includes a plurality of objects, and wherein the medical image is a low-resolution image. Further, the method includes segmenting at least one object from the plurality of objects from the medical image. Additionally, the method includes identifying at least one region of interest in the medical image, wherein the region of interest includes the at least one object, and wherein the at least one object is clinically relevant. Furthermore, the method includes generating a high-resolution image of the region of interest. The method also includes displaying the high-resolution image of the region of interest on a display unit.

公开(公告)号：US20240112349A1

公开(公告)日：2024-04-04

申请号：US18473366

申请日：2023-09-25

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Shuki MARUYAMA ,  Hidenori TAKESHIMA

IPC: G06T7/155 ,  G01N24/08 ,  G06T7/11 ,  G06T7/60

CPC classification number: G06T7/155 ,  G01N24/087 ,  G06T7/11 ,  G06T7/60 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016

Abstract: A data generation apparatus according to one embodiment includes processing circuitry. The processing circuitry receives a relative value of molecules in a first region as input data. The processing circuitry applies, to the input data, a function having predetermined coefficients to be learned. The processing circuitry computes a relative value of the molecules in a second region to be output data from the function. The processing circuitry outputs the output data.

公开(公告)号：US11948308B2

公开(公告)日：2024-04-02

申请号：US17752301

申请日：2022-05-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Myungkyu Choi

IPC: G06T7/155 ,  G06T5/10 ,  G06T5/80 ,  G06T7/194 ,  G06V10/25 ,  G06V10/46 ,  G06V10/48 ,  G06V10/77

CPC classification number: G06T7/155 ,  G06T5/10 ,  G06T5/80 ,  G06T7/194 ,  G06V10/25 ,  G06V10/46 ,  G06V10/48 ,  G06V10/7715 ,  G06T2207/20036

Abstract: According to an embodiment of the disclosure, an electronic device may include: a display, a memory, and a processor operatively connected to the display and the memory. According to an embodiment, the memory may store instructions that, when executed, cause the processor to: obtain a first image of a first shape, obtain linear information indicating a morphological characteristic of an object in the first image of the first shape, determine a conversion method for converting the first image of the first shape into an image of a second shape based on the obtained linear information, convert the first image of the first shape into a second image of the second shape based on the determined conversion method, and control the display to display the converted second image of the second shape on the display.

公开(公告)号：US11948305B2

公开(公告)日：2024-04-02

申请号：US17342192

申请日：2021-06-08

Applicant: GE Precision Healthcare LLC

Inventor： Yingbin Nie ,  Zhoushe Zhao ,  Chen Zhang

IPC: G06T7/187 ,  G06T5/30 ,  G06T7/11 ,  G06T7/155

CPC classification number: G06T7/11 ,  G06T5/30 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20132 ,  G06T2207/20221 ,  G06T2207/30061 ,  G06T2207/30101

Abstract: The present disclosure relates to a method, a system, and a storage medium for segmenting a lung image. The method for segmenting a lung image comprises: obtaining medical image data containing a lung region; performing lung lobe segmentation on the medical image data to generate a plurality of lung lobe data subsets; generating updated lung image data based on one or a plurality of lung lobe data subsets in the plurality of lung lobe data subsets; and performing nidus segmentation on the updated lung image data to generate a segmentation image that identifies a pneumonia nidus.

公开(公告)号：US11893673B2

公开(公告)日：2024-02-06

申请号：US17287254

申请日：2019-10-31

Applicant: SOUL MACHINES LIMITED

Inventor： Tim Wu ,  Pavel Sumetc ,  David Bullivant

IPC: G06T13/40 ,  G06T19/20 ,  G06T7/155 ,  G06T15/08

CPC classification number: G06T13/40 ,  G06T19/20 ,  G06T7/155 ,  G06T15/08 ,  G06T2210/44 ,  G06T2219/2021

Abstract: A computer graphics animation system is provided to assist prevent the generation of undesirable shapes, by providing realistic examples of a subject which are incorporated into an interpolation function which can be used to animate a new shape deformation of the subject.

公开(公告)号：US11880980B2

公开(公告)日：2024-01-23

申请号：US16309825

申请日：2017-06-19

Applicant: CHILDREN'S NATIONAL MEDICAL CENTER

Inventor： Marius George Linguraru ,  Juan Jose Cerrolaza ,  Craig Andrew Peters

IPC: G06T7/12 ,  G06T7/13 ,  G06T7/155 ,  G16H50/20 ,  G16H30/40 ,  A61B5/20 ,  A61B5/00 ,  G06T7/00 ,  G06T7/40 ,  G06T7/149 ,  G06F18/214 ,  G06F18/231 ,  G06F18/2411

CPC classification number: G06T7/12 ,  A61B5/201 ,  A61B5/7267 ,  G06F18/214 ,  G06F18/231 ,  G06F18/2411 ,  G06T7/0012 ,  G06T7/13 ,  G06T7/149 ,  G06T7/155 ,  G06T7/40 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10132 ,  G06T2207/10136 ,  G06T2207/20116 ,  G06T2207/30084

Abstract: Described is a method for segmenting an anatomical part, including identifying a landmark on a contour/surface of a 2D/3D model of the anatomical part in an ultrasound image, assigning a weight to the landmark, identifying different appearance patterns of a region around the landmark based on a previously stored training set; and applying a filter to the different appearance patterns of the region around the landmark in order to identify contours of the anatomical part.

公开(公告)号：US11880208B2

公开(公告)日：2024-01-23

申请号：US18022645

申请日：2022-02-23

Applicant: CHINA UNIVERSITY OF MINING AND TECHNOLOGY

Inventor： Chunyu Yang ,  Zhencai Zhu ,  Yidong Zhang ,  Xin Zhang ,  Zhen Gu ,  Qingguo Wang

IPC: G05D1/02 ,  G06V20/56 ,  G06T7/593 ,  G06V20/70 ,  G06V20/40 ,  G06T7/155 ,  G06T7/00 ,  G06T5/20 ,  G06T5/10 ,  G06V20/58

CPC classification number: G05D1/0251 ,  G05D1/0214 ,  G06T5/10 ,  G06T5/20 ,  G06T7/0012 ,  G06T7/155 ,  G06T7/593 ,  G06V20/41 ,  G06V20/58 ,  G06V20/588 ,  G06V20/70 ,  G05D2201/0202 ,  G06T2207/10012 ,  G06T2207/10028 ,  G06T2207/20021 ,  G06T2207/20028 ,  G06T2207/20036 ,  G06T2207/20048 ,  G06T2207/20081 ,  G06T2207/30256 ,  G06T2207/30261

Abstract: A method for drivable area detection and autonomous obstacle avoidance of unmanned haulage equipment in deep confined spaces is disclosed, which includes the following steps: acquiring 3D point cloud data of a roadway; computing a 2D image drivable area of the coal mine roadway; acquiring a 3D point cloud drivable area of the coal mine roadway; establishing a 2D grid map and a risk map, and performing autonomous obstacle avoidance path planning by using a particle swarm path planning method designed for deep confined roadways; and acquiring an optimal end point to be selected of a driving path by using a greedy strategy, and enabling an unmanned auxiliary haulage vehicle to drive according to the optimal end point and an optimal path. Images of a coal mine roadway are acquired actively by use of a single-camera sensor device.

公开(公告)号：US20230342924A1

公开(公告)日：2023-10-26

申请号：US18138688

申请日：2023-04-24

Applicant: 2692873 Ontario Inc.

Inventor： Trevor CHAMPAGNE

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/82 ,  G06T7/155 ,  G06V10/774 ,  G06V20/70

CPC classification number: G06T7/0012 ,  G06V10/764 ,  G06V10/82 ,  G06T7/155 ,  G06V10/774 ,  G06V20/70 ,  G06V2201/03 ,  G06T2207/30088 ,  G06T2207/20021 ,  G06T2207/20036 ,  G06T2207/20084 ,  G06V20/41

Abstract: Systems and methods using machine learning for classifying samples, for example medical images such as dermatological images. The method can use contrapositive logic principals. An example of the method includes: receiving a sample; generating, by a first neural network using the sample: a first classification of a positive label versus a negative label; generating, by a second neural network using the sample: a second classification of the negative label versus not the negative label; and generating, by a category classification module using the first classification and the second classification: a category of the sample.