公开(公告)号：US12089820B2

公开(公告)日：2024-09-17

申请号：US17251768

申请日：2019-06-11

Applicant: COSMO ARTIFICIAL INTELLIGENCE—AI LIMITED

Inventor： Nhan Ngo Dinh ,  Giulio Evangelisti ,  Flavio Navari

IPC: G06K9/00 ,  A61B1/00 ,  A61B1/31 ,  A61B5/00 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T7/70 ,  G06T11/00 ,  G06T11/20 ,  G06T11/60 ,  G06V10/20 ,  G06V10/25 ,  G06V10/82 ,  G06V20/40 ,  G16H30/20

CPC classification number: A61B1/31 ,  A61B1/000094 ,  A61B1/000095 ,  A61B1/000096 ,  A61B1/00055 ,  A61B5/7264 ,  A61B5/7267 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/70 ,  G06T11/001 ,  G06T11/203 ,  G06T11/60 ,  G06V10/25 ,  G06V10/255 ,  G06V10/82 ,  G06V20/40 ,  G06V20/49 ,  G16H30/20 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30032 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06V2201/03 ,  G06V2201/032

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.

公开(公告)号：US20240303973A1

公开(公告)日：2024-09-12

申请号：US18547855

申请日：2022-02-16

Applicant: Bayer Aktiengesellschaft

Inventor： Thiago RAMOS DOS SANTOS ,  Veronica CORONA ,  Marvin PURTORAB ,  Sara LORIO

IPC: G06V10/774 ,  G06T11/00 ,  G06V10/46 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/774 ,  G06T11/00 ,  G06V10/462 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06T2210/41 ,  G06V2201/03

Abstract: The present invention provides a technique for model improvement in supervised learning with potential applications to a variety of imaging tasks, such as segmentation, registration, detection. In particular, it has shown potential in medical imaging enhancement.

公开(公告)号：US20240298913A1

公开(公告)日：2024-09-12

申请号：US18573695

申请日：2022-06-24

Applicant: PERFUSION TECH APS

Inventor： Mads Holst Aagaard Madsen ,  Morten Asp Vonsild Lund ,  Erik Bærentsen

IPC: A61B5/0275 ,  A61B5/00 ,  A61B5/026 ,  G06T7/00 ,  G06V10/25 ,  G06V10/764

CPC classification number: A61B5/0275 ,  A61B5/0071 ,  A61B5/0261 ,  A61B5/489 ,  G06T7/0014 ,  G06V10/25 ,  G06V10/764 ,  G06T2207/10064 ,  G06T2207/20092 ,  G06T2207/30101 ,  G06V2201/03

Abstract: Disclosed are systems and methods for continuously detecting, and optionally classifying, abnormal perfusion patterns in tissue by means of fluorescence imaging. A computer implemented method for detecting (and/or identifying) one or more areas having an abnormal perfusion pattern in tissue of a subject, for example during a medical procedure, includes: continuously acquiring fluorescence images of the tissue, wherein the fluorescence images are associated with a fluorescent output signal correlated with an input signal defined by a series of boluses of at least one fluorescent imaging agent, and wherein the series of boluses is administered with a predefined and/or controlled duration between subsequent boluses, analyzing the fluorescence images, identifying at least one tissue area with normal perfusion, defining a normal perfusion pattern (in an intensity domain and) in a time domain, and detecting, in the fluorescence images, possible tissue areas with abnormal (non-normal) perfusion pattern.

公开(公告)号：US20240296556A1

公开(公告)日：2024-09-05

申请号：US18565216

申请日：2022-08-29

Applicant: DEEPEYEVISION INC.

Inventor： Yoichiro HISADOME ,  Yusuke KONDO

IPC: G06T7/00 ,  G06N3/092 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H30/40

CPC classification number: G06T7/0012 ,  G06N3/092 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30104 ,  G06V2201/03

Abstract: An information processing device, an information processing method, and a computer-readable recording medium that are capable of generating, with a smaller amount of learning data, a learned model that infers a blood circulation anomalous area in a medical image are provided.
A learning unit 124 and a model output unit 126 are provided. The learning unit 124 is configured to cause a machine learning model 125 to learn by inputting medical images and blood vessel images into the machine learning model, the medical images being provided with annotation information of a blood circulation anomalous area, the blood vessel images being obtained by estimating a blood vessel area in the medical images based on the medical images. The model output unit 126 outputs a learned model having learned at the learning unit.

公开(公告)号：US12080059B2

公开(公告)日：2024-09-03

申请号：US17637141

申请日：2020-03-30

Applicant: NEC Corporation

Inventor： Ikuma Takahashi ,  Tatsu Kimura ,  Kimiyasu Takoh ,  Kenichi Kamijo ,  Hiroyasu Saiga ,  Shota Ohtsuka ,  Motoyasu Okutsu

IPC: A61B1/00 ,  G06T7/00 ,  G06T11/20 ,  G06V10/98

CPC classification number: G06V10/987 ,  A61B1/00006 ,  A61B1/00009 ,  A61B1/0005 ,  A61B1/00055 ,  G06T7/0016 ,  G06T11/206 ,  A61B1/0004 ,  G06T2200/24 ,  G06T2207/10068 ,  G06T2207/20092 ,  G06T2207/30096 ,  G06V2201/03

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

公开(公告)号：US12076119B2

公开(公告)日：2024-09-03

申请号：US16043022

申请日：2018-07-23

Applicant: Vektor Medical, Inc.

Inventor： Christopher Villongco

IPC: A61B5/316 ,  A61B5/00 ,  A61B5/02 ,  A61B5/318 ,  A61B5/319 ,  A61B5/339 ,  A61B5/341 ,  A61B34/10 ,  G06V10/00 ,  G09B23/30 ,  A61B5/107 ,  A61B5/25 ,  A61B5/349 ,  A61B5/361 ,  A61B5/363 ,  A61B5/364 ,  A61B6/03 ,  A61B6/50 ,  G06F18/22 ,  G06F30/20 ,  G06N3/045 ,  G06N3/08 ,  G06N5/04 ,  G06N5/046 ,  G06N20/00 ,  G06T3/4007 ,  G06T17/20 ,  G06T19/20 ,  G06V10/764 ,  G09B23/28 ,  G16H50/20 ,  G16H50/50

CPC classification number: A61B5/02028 ,  A61B5/318 ,  A61B5/319 ,  A61B5/339 ,  A61B5/341 ,  A61B5/7275 ,  A61B5/743 ,  A61B5/7435 ,  A61B34/10 ,  G06V10/00 ,  G09B23/30 ,  A61B5/1075 ,  A61B5/25 ,  A61B5/316 ,  A61B5/349 ,  A61B5/361 ,  A61B5/363 ,  A61B5/364 ,  A61B5/6805 ,  A61B5/7235 ,  A61B5/725 ,  A61B5/7267 ,  A61B5/7425 ,  A61B5/7445 ,  A61B6/032 ,  A61B6/503 ,  A61B2034/105 ,  G06F18/22 ,  G06F30/20 ,  G06N3/045 ,  G06N3/08 ,  G06N5/04 ,  G06N5/046 ,  G06N20/00 ,  G06T3/4007 ,  G06T17/205 ,  G06T19/20 ,  G06T2210/41 ,  G06V10/764 ,  G06V2201/03 ,  G09B23/285 ,  G16H50/20 ,  G16H50/50

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

公开(公告)号：US20240290130A1

公开(公告)日：2024-08-29

申请号：US18659195

申请日：2024-05-09

Applicant: Japan Display Inc.

Inventor： Shigesumi ARAKI ,  Kazuki MATSUNAGA ,  Akio TAKIMOTO

IPC: G06V40/13 ,  G06V40/145

CPC classification number: G06V40/13 ,  G06V40/145 ,  G06V2201/03

Abstract: According to an aspect, a detection device includes: photodiodes arranged on a substrate; and a front light comprising a light guide plate disposed so as to overlap the photodiodes, a first light source configured to emit first light to a first side surface of the light guide plate, a second light source configured to emit second light having the same wavelength as that of the first light to a second side surface of the light guide plate opposite to the first side surface, a third light source configured to emit third light having a wavelength different from that of the first light to a third side surface of the light guide plate different from the first and second side surfaces, and scattering portions provided on the light guide plate and configured to scatter light from any of the first light source, the second light source, and the third light source.

公开(公告)号：US12072954B1

公开(公告)日：2024-08-27

申请号：US16676314

申请日：2019-11-06

Applicant: NVIDIA Corporation

Inventor： Wenqi Li ,  Fausto Milletari ,  Daguang Xu ,  Yan Cheng ,  Nicola Christin Rieke ,  Charles Jonathan Hancox ,  Wentao Zhu ,  Rong Ou ,  Andrew Feng

IPC: G06T7/00 ,  G06F7/57 ,  G06F18/214 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/94 ,  G16H30/20

CPC classification number: G06F18/2148 ,  G06F7/57 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06V10/955 ,  G16H30/20 ,  G06V2201/03

Abstract: Apparatuses, systems, and techniques to perform federated training of neural networks while maintaining control over dissemination of local models of neural networks from which aspects of local training data might be extracted. In at least one embodiment, a neural network is trained on local training data and a local model is provided to be aggregated with other local models into a global model that is in turn used for further local model training, wherein a provided local model or training is adjusted to reduce an ability to extract aspects of local training data therefrom.

公开(公告)号：US20240282090A1

公开(公告)日：2024-08-22

申请号：US18516124

申请日：2023-11-21

Applicant: WUHAN UNIVERSITY

Inventor： Juan Liu ,  Na Zhang

IPC: G06V10/80 ,  A61B8/08 ,  G06T7/00 ,  G06V10/32 ,  G06V10/77 ,  G06V10/776 ,  G06V10/778 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06V10/811 ,  A61B8/085 ,  A61B8/5223 ,  A61B8/5261 ,  G06T7/0012 ,  G06V10/32 ,  G06V10/7715 ,  G06V10/776 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10048 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06V2201/03

Abstract: The present disclosure provides a multi-modal method for classifying a thyroid nodule based on ultrasound (US) and infrared thermal (IRT) images. Based on ultrasound and infrared thermal images and in combination with a multi-modal learning method, the present disclosure provides an adaptive multi-modal hybrid (AmmH) model which is composed of three parts: an intra-modal hybrid encoder (HIME), an adaptive cross-modal encoder (ACME), and a multilayer perceptron (MLP) head. The HIME is capable of modeling a global feature while extracting a local feature. The ACME is capable of customizing personalized modality-weights according to different cases and performing information interaction and fusion of inter-modal features. The MLP head classifies a fused feature obtained. The method enables the AmmH model to automatically classify a thyroid nodule of a subject based on ultrasound and infrared thermal images of the subject, providing a doctor with an objective and accurate classification result to assist diagnosis.

公开(公告)号：US12067725B2

公开(公告)日：2024-08-20

申请号：US17222471

申请日：2021-04-05

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Liang Wang ,  Jun Zhang

IPC: A61B5/055 ,  G06F18/25 ,  G06T7/00 ,  G06T7/11 ,  G06T7/33 ,  G06T7/73 ,  G06V10/44 ,  G06V10/80 ,  G06V10/82 ,  G06V10/84

CPC classification number: G06T7/11 ,  A61B5/055 ,  G06F18/253 ,  G06T7/0014 ,  G06T7/33 ,  G06T7/73 ,  G06V10/454 ,  G06V10/806 ,  G06V10/82 ,  G06V10/85 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Embodiments of this application disclose methods, systems, and devices for image region localization and medical image processing. In one aspect, a method comprises acquiring three-dimensional images of a target body part of a patient. The three-dimensional images comprise a plurality of magnetic resonant imaging (MRI) modalities. The method comprises registering a first image set of a first modality with a second image set of a second modality. After the registering, image features of the three-dimensional images are extracted. The image features are fused to obtain fused features. The method also comprises determining voxel types corresponding to voxels in the three-dimensional images according to the fused features. The method also comprises selecting, from the three-dimensional images, target voxels having a preset voxel type, obtaining position information of the target voxels, and localizing a target region within the target body part based on the position information of the target voxels.