公开(公告)号：US20240046632A1

公开(公告)日：2024-02-08

申请号：US17642568

申请日：2021-08-17

Applicant: BEIJING ZHENHEALTH TECHNOLOGY CO., LTD.

Inventor： Dongdong ZHANG

IPC: G06V10/86 ,  G06V10/764 ,  G06V10/26 ,  G06V10/30 ,  G06V10/34 ,  G06V10/22

CPC classification number: G06V10/86 ,  G06V10/764 ,  G06V10/267 ,  G06V10/30 ,  G06V10/34 ,  G06V10/225 ,  G06V2201/03

Abstract: An image classification method, apparatus, and device. The method includes: inputting a to-be-classified image dataset, where the image dataset includes to-be-classified images; cropping each of the to-be-classified images with a center of the to-be-classified image as a reference center point to obtain an image having a preset size and including a specific region as a standard image; selecting a pixel array of any single channel in the standard image and drawing a corresponding signal waveform graph based on the pixel array; and determining a type of the to-be-classified image. After the standard image including the specific region is obtained by cropping the to-be-classified image, the pixel array of the any single channel is selected from the standard image, and then the signal waveform graph is drawn based on the selected pixel array of the single channel, to classify the to-be-classified image based on the drawn signal waveform graph.

公开(公告)号：US20240046600A1

公开(公告)日：2024-02-08

申请号：US18489843

申请日：2023-10-18

Applicant: FUJIFILM Corporation

Inventor： Seiya TAKENOUCHI

IPC: G06V10/25 ,  G06T7/70 ,  G06T7/66 ,  G06T7/00 ,  G06T11/60 ,  A61B8/12 ,  A61B8/00

CPC classification number: G06V10/25 ,  G06T7/70 ,  G06T7/66 ,  G06T7/0016 ,  G06T11/60 ,  A61B8/12 ,  A61B8/469 ,  A61B8/463 ,  G06V2201/03 ,  G06T2207/10068 ,  G06T2207/10132

Abstract: An image processing apparatus according to an aspect of the present invention is an image processing apparatus including a processor. The processor is configured to execute an image acquisition process for acquiring an image, a recognition process for recognizing a region of interest from the image, a notification information determination process for determining first notification information indicating a position of the region of interest in the image and second notification information indicating a type of the region of interest, and a notification position determination process for determining a notification position at which a notification of the second notification information is to be presented in the image, on the basis of pixel values in an area surrounding the region of interest in the image.

公开(公告)号：US20240037949A1

公开(公告)日：2024-02-01

申请号：US18350072

申请日：2023-07-11

Applicant: DIGITAL SURGERY LIMITED

Inventor： Helena Elizabeth Anne Johnston ,  Carole RJ Addis ,  Stefano Passaretti ,  Maura Bellio

IPC: G06V20/40 ,  G16H70/20 ,  G16H50/70

CPC classification number: G06V20/48 ,  G06V20/49 ,  G06V20/46 ,  G06V20/41 ,  G16H70/20 ,  G16H50/70 ,  G06V2201/03

Abstract: An aspect includes a computer-implemented method for surgical workflow visualization as deviations to a standard workflow. Surgical videos documenting multiple cases of a medical procedure are analyzed to identify variations when the medical procedure is performed multiple times by one or more service providers. According to some aspects, a visualization of one or more of the variations are output to a display device.

公开(公告)号：US20240037736A1

公开(公告)日：2024-02-01

申请号：US18267585

申请日：2021-03-25

Applicant: NEC Corporation

Inventor： Ayaka Amakawa ,  Maki Sano ,  Yatin Joshi

IPC: G06T7/00 ,  G06V20/69 ,  G16B20/00

CPC classification number: G06T7/0012 ,  G06V20/695 ,  G16B20/00 ,  G06V2201/03 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/30096 ,  G16H30/20

Abstract: Provided is a technique that suggests a testing region suited to dissection in genetic testing of somatic cells. An acquisition unit (11) acquires image data of a pathological specimen; an estimation unit (12) estimates the content ratio of tumor cells in each of individual regions in a focus region in the image data of the pathological specimen; a determination unit (13) determines a testing region in the focus region on the basis of the content ratio of tumor cells in each of the individual regions in the focus region; and an output unit (14) outputs information indicating the testing region.

公开(公告)号：US11887355B2

公开(公告)日：2024-01-30

申请号：US17267819

申请日：2019-08-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Marinus Bastiaan Van Leeuwen ,  Ruud Vlutters

IPC: G06K9/00 ,  G06V10/774 ,  G16H30/20 ,  G16H30/40 ,  G06F16/55 ,  G06N3/04 ,  G06N3/08 ,  G06V20/69 ,  G06F18/214 ,  G06F18/40 ,  G06F18/232 ,  G06F18/2415

CPC classification number: G06V10/774 ,  G06F16/55 ,  G06F18/2148 ,  G06F18/232 ,  G06F18/2415 ,  G06F18/40 ,  G06N3/04 ,  G06N3/08 ,  G06V20/69 ,  G06V20/698 ,  G16H30/20 ,  G16H30/40 ,  G06V2201/03

Abstract: Disclosed is a system for analysis of microscopic image data which includes a data processing system. Pixel classification data for each of a plurality of pixels of the microscopic image data are read. The pixel classification data include for each of the pixels of the microscopic image data, binary or probabilistic classification data for classifying the pixel of the microscopic image data into one or more object classes of pre-defined objects which are shown by the image. At least a portion of the pixels of the microscopic image data are grouped to form one or more pixels groups. For each of the pixel groups, probabilistic group classificati on data are calculated depending on the pixel classification data of the pixels of the respective group. The probabilistic group classification data are indicative of a probability that the group shows at least a portion of an object of the respective object class.

公开(公告)号：US20240024065A1

公开(公告)日：2024-01-25

申请号：US18041403

申请日：2021-08-10

Applicant: Orcana Inc.

Inventor： Kris Okumu ,  Orr Orenstein

IPC: A61B90/00 ,  G06T11/00 ,  G06F3/01 ,  G06V20/20 ,  G06V20/50 ,  G06T13/00 ,  H04L65/403 ,  G16H80/00 ,  G16H20/40

CPC classification number: A61B90/37 ,  G06T11/00 ,  G06F3/017 ,  G06V20/20 ,  G06V20/50 ,  G06T13/00 ,  H04L65/403 ,  G16H80/00 ,  G16H20/40 ,  G06V2201/03 ,  G06T2210/41 ,  A61B2090/365

Abstract: A framework for medical and surgical support enables remote guidance for implantations of medical devices during medical procedures and integrates video conferencing technology to enable product support specialists to provide support to medical personnel for such implantations in an operating facility during interactive collaboration sessions. The framework enables individuals wearing augmented reality-enabled display devices to communicate in real time with such product support specialists for medical devices who are not physically present in an operative theater, to promote and maintain sterile environments and protect the health and safety of the various participants in such collaboration sessions. The framework includes real-time, secure communication capabilities from, to, and between such medical personnel and any product support specialist client. The framework further includes hardware components and software elements that enable gesture detection and interpretation. The framework also enables instruments and devices to be tracked, monitored, and verified before, during, and after medical procedures using image processing techniques that allow for object detection and recognition.

公开(公告)号：US20240021324A1

公开(公告)日：2024-01-18

申请号：US18476613

申请日：2023-09-28

Applicant: Memorial Sloan-Kettering Cancer Center

Inventor： Thomas FUCHS ,  Gabriele CAMPANELLA

IPC: G16H50/70 ,  G06T7/00 ,  G16H30/40 ,  G06N20/00 ,  G06F18/21 ,  G06F18/2113 ,  G06F18/2415 ,  G06F18/2431 ,  G06V10/762 ,  G06V10/764 ,  G06V10/98

CPC classification number: G16H50/70 ,  G06T7/0012 ,  G16H30/40 ,  G06N20/00 ,  G06F18/217 ,  G06F18/2113 ,  G06F18/2415 ,  G06F18/2431 ,  G06V10/7635 ,  G06V10/764 ,  G06V10/98 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06V2201/03

Abstract: The present disclosure is directed to systems and methods for classifying biomedical images. A feature classifier may generate a plurality of tiles from a biomedical image. Each tile may correspond to a portion of the biomedical image. The feature classifier may select a subset of tiles from the plurality of tiles by applying an inference model. The subset of tiles may have highest scores. Each score may indicate a likelihood that the corresponding tile includes a feature indicative of the presence of the condition. The feature classifier may determine a classification result for the biomedical image by applying an aggregation model. The classification result may indicate whether the biomedical includes the presence or lack of the condition.

公开(公告)号：US20240020946A1

公开(公告)日：2024-01-18

申请号：US17812308

申请日：2022-07-13

Applicant: Optum, Inc.

Inventor： Rama Krishna Singh ,  Ravi Pande ,  Priyank Jain

IPC: G06V10/764 ,  G06V10/10 ,  G06V10/22 ,  G06V10/56

CPC classification number: G06V10/764 ,  G06V10/16 ,  G06V10/22 ,  G06V10/56 ,  G06V2201/03

Abstract: As described herein, various embodiments of the present invention disclose techniques that improve efficiency of performing image-based machine learning operations on large images while limiting accuracy drawbacks of partial processing of those large images by using composite-tiled image embeddings for composite-tiled images generated by merging multiple tiled images that are generated using multiple tiling mechanisms. For example, in some embodiments, given an input image that comprises R image regions, each tiled image comprises N selected image regions of the R image regions that are selected in accordance with a tiling mechanism (where N

公开(公告)号：US20240013524A1

公开(公告)日：2024-01-11

申请号：US18473292

申请日：2023-09-25

Applicant: FUJIFILM Corporation

Inventor： Atsushi TACHIBANA

IPC: G06V10/776 ,  G06V20/70

CPC classification number: G06V10/776 ,  G06V20/70 ,  G06V2201/03 ,  G06V10/774

Abstract: An information processing apparatus includes a processor, in which the processor acquires, when an annotator generates annotation information as correct answer data of a machine learning model for analyzing a medical image, reference history information by the annotator of related medical information related to a generation source medical image that is a generation source of the annotation information, and derives evaluation information representing quality of the annotation information based on the reference history information.

公开(公告)号：US20240008933A1

公开(公告)日：2024-01-11

申请号：US18370606

申请日：2023-09-20

Applicant: MAKO Surgical Corp.

Inventor： Jean Stawiaski ,  Fadi Ghanam ,  David Hofmann

IPC: A61B34/20 ,  A61B34/30 ,  A61B17/16 ,  A61B34/00 ,  A61B34/10 ,  G06T7/00 ,  G06T7/73

CPC classification number: A61B34/20 ,  A61B34/30 ,  A61B17/16 ,  A61B34/70 ,  A61B34/10 ,  G06T7/00 ,  G06T7/74 ,  A61B2034/2051 ,  A61B2034/2063 ,  A61B2034/2065 ,  A61B2034/101 ,  A61B2034/107 ,  A61B2017/1602 ,  A61B2034/2068 ,  G06V2201/03

Abstract: Systems and methods for defining a relationship between a surgical object and a tracker coupled to the surgical object. A first optical sensor senses light in an infrared spectrum or a near-infrared spectrum. A second optical sensor senses light in a visible light spectrum. Controller(s) acquire one or more first images of the tracker from the first optical sensor and acquire one or more second images of the surgical object from the second optical sensor. The controller(s) recognize a pose of the tracker based on the one or more first image and recognize a geometry of the surgical object based on the one or more second images. The controller(s) correlate the recognized pose of the tracker and the recognized geometry of the surgical object to define a relationship between the tracker and the surgical object.