公开(公告)号：US12062429B2

公开(公告)日：2024-08-13

申请号：US17270150

申请日：2019-08-21

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Ze He ,  Binyam Gebrekidan Gebre ,  Christine Menking Swisher

IPC: G16H30/40 ,  G06N3/10 ,  G06T7/00 ,  G06V10/22 ,  G06V10/46

CPC classification number: G16H30/40 ,  G06N3/105 ,  G06T7/0012 ,  G06V10/235 ,  G06V10/462 ,  G06T2200/24 ,  G06T2207/20081 ,  G06V2201/031

Abstract: Various embodiments of the present disclosure are directed to a salient medical imaging controller (80) employing an artificial intelligence engine (40) and a graphical user interface (70). In operation, the artificial intelligence engine (40) includes one or more machine learning models (42) trained to render a feature assessment of a medical image. The graphical user interface (70) provides a user interaction with the artificial intelligence engine (40) to manipulate a salient visualization of the feature assessment of the medical image by the machine learning model(s) (42).

公开(公告)号：US20240266066A1

公开(公告)日：2024-08-08

申请号：US18614595

申请日：2024-03-22

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Shant Malkasian ,  Hugo Miguel Rodrigues Marques ,  Chung Chan ,  Shai Ronen

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/02 ,  G06T7/00 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40

CPC classification number: G16H50/30 ,  A61B5/02028 ,  A61B5/4848 ,  G06T7/0016 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240266063A1

公开(公告)日：2024-08-08

申请号：US18614580

申请日：2024-03-22

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls ,  Shant Malkasian ,  Hugo Miguel Rodrigues Marques ,  Chung Chan ,  Shai Ronen

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/02 ,  G06T7/00 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40

CPC classification number: G16H50/30 ,  A61B5/02028 ,  A61B5/4848 ,  G06T7/0016 ,  G06T7/10 ,  G06T7/60 ,  G06V20/50 ,  G16H30/40 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10104 ,  G06T2207/10108 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30048 ,  G06T2207/30101 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240260921A1

公开(公告)日：2024-08-08

申请号：US18592081

申请日：2024-02-29

Applicant: Cleerly, Inc.

Inventor： James K. Min ,  James P. Earls

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC classification number: A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240257509A1

公开(公告)日：2024-08-01

申请号：US18562553

申请日：2022-05-24

Applicant: Anaut Inc.

Inventor： Nao Kobayashi ,  Yuta Kumazu ,  Seigo Senya

IPC: G06V10/80 ,  G06T7/00 ,  G06V10/70 ,  G06V10/776 ,  G06V10/82 ,  G06V10/98 ,  G16H50/20

CPC classification number: G06V10/809 ,  G06T7/0012 ,  G06V10/776 ,  G06V10/82 ,  G06V10/87 ,  G06V10/98 ,  G16H50/20 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/031 ,  G06V2201/034

Abstract: An information processing device, includes one or more processors and a storage storing instructions causing any of the one or more processors to execute processing of executing computation by a first learning model in accordance with input of an operative field image, executing computation by a second learning model in accordance with the input of the operative field image, deriving an integrative recognition result for the operative field image based on a computation result based on the first learning model and the second learning model, and outputting information based on the derived recognition result.

公开(公告)号：US20240252132A1

公开(公告)日：2024-08-01

申请号：US18444339

申请日：2024-02-16

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC classification number: A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US12033365B2

公开(公告)日：2024-07-09

申请号：US17562945

申请日：2021-12-27

Applicant: Tsinghua University

Inventor： Gao Huang ,  Shiji Song ,  Chaoqun Du

IPC: G06V10/26 ,  G06T7/11 ,  G06V10/77 ,  G06V10/774 ,  G06V10/776 ,  G16H30/40 ,  G16H50/20 ,  G06V10/82

CPC classification number: G06V10/26 ,  G06T7/11 ,  G06V10/7715 ,  G06V10/7747 ,  G06V10/776 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06V10/82 ,  G06V2201/031

Abstract: An image processing method and apparatus and a storage medium, wherein the method particularly includes firstly acquiring an image-to-be-trained sample and a label segmentation image corresponding to the image-to-be-trained sample; inputting the image-to-be-trained sample into an image segmentation model to be trained, obtaining a first image feature of a last one output layer in the image segmentation model and a second image feature of a second last output layer when the image-to-be-trained sample is being extracted by using the image segmentation model, outputting the corresponding segmented-image samples; based on the label segmentation image and the segmented-image samples, calculating the model loss function, optimizing the model parameter, and generating the image segmentation model that has been optimized; and inputting an acquired image to be processed into the image segmentation model that has been optimized, and generating segmented images corresponding to the image to be processed.

公开(公告)号：US20240197276A1

公开(公告)日：2024-06-20

申请号：US18592038

申请日：2024-02-29

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC classification number: A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240188917A1

公开(公告)日：2024-06-13

申请号：US18444367

申请日：2024-02-16

Applicant: Cleerly, Inc.

Inventor： James K. Min

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC classification number: A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

Abstract: Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240177445A1

公开(公告)日：2024-05-30

申请号：US18284179

申请日：2022-03-28

Applicant: John Michael Galeotti ,  Carnegie Mellon University

Inventor： John Michael Galeotti ,  Gautam Rajendrakumar Gare

IPC: G06V10/26 ,  G06T7/00 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/26 ,  G06T7/0012 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G06V20/70 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30061 ,  G06V2201/031

Abstract: Provided are methods including the steps of receiving, with at least one computing device, an image of a portion of a subject, assigning: with the at least one computing device and based on a machine-learning model, a label to one or more pixels of the image to generate a diagnostically segmented image: and classifying, with the at least one computing device and based on a machine-learning model, the diagnostically segmented image and the one or more pixels into at least one class to generate a classified image, wherein the classified image includes a classification label indicating a clinical assessment of the portion of the subject and wherein the one or more pixels include a clinical label indicating a diagnosis of a portion of a subject contained within each pixel, based on the diagnostically segmented image having labels assigned to each pixel of the segmented image.