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41.发明公开公开(公告)号：US20240260831A1
公开(公告)日：2024-08-08
申请号：US18574321
申请日：2022-06-27
Inventor： Kecheng Wei , Wei Zhang , Qiong Zhang
CPC classification number: A61B5/0042 , A61B5/055 , A61B5/4836 , A61B5/7246 , A61B5/7485 , G06T7/0012 , G06V10/25 , G16H20/30 , A61B2576/026 , G06T2207/10088 , G06T2207/20021 , G06T2207/30016 , G06V2201/031
Abstract: The present disclosure provides a method and a device for target identification, electric device, a storage medium, and a neuromodulation apparatus. The method for target identification includes: acquiring scanning data of a subject, wherein the scanning data include data acquired from magnetic resonance imaging of a brain of the subject; determining, based on the scanning data, at least two brain regions of the subject, each brain region including at least one voxel; determining, based on a disease type of the subject, at least one target brain region corresponding to the type of the disease in the at least two brain regions; and determining, based on a preset target identification rule, the at least one target located in the target brain region.
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42.发明公开公开(公告)号：US20240233957A1
公开(公告)日：2024-07-11
申请号：US18614603
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
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.
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43.发明公开公开(公告)号：US20240233956A1
公开(公告)日：2024-07-11
申请号：US18614602
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
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.
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44.发明公开公开(公告)号：US20240233954A1
公开(公告)日：2024-07-11
申请号：US18614590
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
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.
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公开(公告)号：US12033248B2
公开(公告)日：2024-07-09
申请号：US17525942
申请日：2021-11-14
Applicant: FUJIFILM Corporation
Inventor： Takuya Yuzawa
CPC classification number: G06T11/008 , A61B6/032 , A61B6/463 , A61B6/466 , G06T7/11 , G06V10/22 , G06V10/25 , G06T2207/10081 , G06T2207/10088 , G06T2207/20104 , G06T2207/30004 , G06V2201/031
Abstract: A first display control unit displays a first tomographic image of a three-dimensional image consisting of a plurality of tomographic images on a display unit, and superimposes and displays, as a first cross-section correction instruction region, a cross-section of a three-dimensional correction instruction region on the first tomographic image, which is used to correct a boundary of a region of interest extracted from the three-dimensional image, on the first tomographic image. A second display control unit displays at least one second tomographic image adjacent to the first tomographic image, which includes the three-dimensional correction instruction region, on the display unit, and superimposes and displays, as a second cross-section correction instruction region, a cross-section of the three-dimensional correction instruction region on the second tomographic image, on the second tomographic image.
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Patent Agency Ranking
公开(公告)号：US12032658B2
公开(公告)日：2024-07-09
申请号：US17055313
申请日：2018-11-20
Applicant: GOOGLE LLC
Inventor： Atilla Kiraly , Shravya Shetty , Sujeeth Bharadwaj , Diego Ardila , Bokyung Choi
IPC: G06T7/11 , G06F18/213 , G06F18/2415 , G06F18/25 , G06N3/04 , G06N3/08 , G06N20/20 , G06T7/00 , G06T7/73 , G16H50/20
CPC classification number: G06F18/254 , G06F18/213 , G06F18/2415 , G06N3/04 , G06N3/08 , G06N20/20 , G06T7/0012 , G06T7/11 , G06T7/73 , G16H50/20 , G06T2207/10081 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30061 , G06T2207/30096 , G06V2201/031
Abstract: A method and system to generate a probabilistic prediction of the presence/absence of cancer in longitudinal and current image datasets, and/or multimodal image datasets, and the location of the cancer, is described. The method and system uses an ensemble of deep learning models. The ensemble includes a global model in the form of a 3D convolutional neural network (CNN) extracting features in the datasets indicative of the presence of cancer on a global basis. The ensemble also includes a two-stage prediction model which includes a first stage or detection model which identifies cancer detection candidates (different cropped volumes of 3D data in the a dataset containing candidates which may be cancer) and a second stage or probability model which incorporates the longitudinal datasets (or multimodal images in a multimodal dataset) and the extracted features from the global model and assigns a cancer probability p to each of the cancer detection candidates. An overall prediction of probability of cancer is obtained from the probabilities assigned by the second stage model, e.g., using a Noisy-OR approach.
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47.发明公开公开(公告)号：US20240197281A1
公开(公告)日：2024-06-20
申请号：US18592253
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.
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公开(公告)号：US20240185577A1
公开(公告)日：2024-06-06
申请号：US18285361
申请日：2022-03-24
Applicant: Bayer Aktiengesellschaft
Inventor： Matthias LENGA , Marvin PURTORAB , Thiago RAMOS DOS SANTOS , Jens HOOGE , Veronica CORONA
IPC: G06V10/774 , G06V10/22 , G06V10/32 , G06V10/82
CPC classification number: G06V10/774 , G06V10/22 , G06V10/32 , G06V10/82 , G06V2201/031
Abstract: The present invention relates to the technical field of machine learning. Subject matter of the present invention is a novel approach for training a neural network and the use of this approach for the processing of (medical) images.
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公开(公告)号：US20240169546A1
公开(公告)日：2024-05-23
申请号：US18429322
申请日：2024-01-31
Applicant: EXINI Diagnostics AB
Inventor： Jens Filip Andreas Richter , Kerstin Elsa Maria Johnsson , Erik Konrad Gjertsson , Aseem Undvall Anand
IPC: G06T7/11 , A61B6/00 , A61B6/03 , A61B6/46 , A61B6/50 , A61K51/04 , G06F18/214 , G06V20/64 , G06V20/69 , G06V30/24 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H50/50
CPC classification number: G06T7/11 , A61B6/032 , A61B6/037 , A61B6/463 , A61B6/466 , A61B6/481 , A61B6/505 , A61B6/507 , A61B6/5205 , A61B6/5241 , A61B6/5247 , A61K51/0455 , G06F18/214 , G06V20/64 , G06V20/695 , G06V20/698 , G06V30/2504 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H50/50 , G06V2201/031 , G06V2201/033
Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific anatomical regions (e.g., organs and/or tissue). Notably, the image analysis approaches described herein are not limited to a single particular organ or portion of the body. Instead, they are robust and widely applicable, providing for consistent, efficient, and accurate detection of anatomical regions, including soft tissue organs, in the entire body. In certain embodiments, the accurate identification of one or more such volumes is used to automatically determine quantitative metrics that represent uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.
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50.发明公开公开(公告)号：US20240156547A1
公开(公告)日：2024-05-16
申请号：US18281840
申请日：2022-03-18
Applicant: DIGITAL SURGERY LIMITED
Inventor： Imanol Luengo Muntion , Petros Giataganas , Danail V. Stoyanov
IPC: A61B34/00 , A61B34/10 , A61B34/20 , A61B90/00 , G06T7/00 , G06T7/50 , G06T7/70 , G06T11/00 , G06V10/26 , G06V10/774 , G06V20/40 , G06V20/50 , G16H30/40
CPC classification number: A61B34/25 , G06T7/0012 , G06T7/50 , G06T7/70 , G06T11/001 , G06V10/26 , G06V10/774 , G06V20/41 , G06V20/50 , G16H30/40 , A61B2034/107 , A61B2034/2065 , A61B2034/252 , A61B2090/364 , G06T2207/10016 , G06T2207/20081 , G06T2207/30004 , G06T2210/41 , G06V2201/031 , G06V2201/034
Abstract: A surgical action to be performed during a surgical procedure is predicted using machine learning based on images and surgical instrumentation data. An image/video capture device such as an endoscope, a wearable camera, a stationary camera, etc., can be used to capture the image(s). A surgeon can be provided an augmented visualization of the surgical procedure by displaying one or more graphical overlays based on the findings of the machine learning to enhance the surgeon's information.
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