公开(公告)号：US11786197B2

公开(公告)日：2023-10-17

申请号：US17179403

申请日：2021-02-19

Applicant: FUJIFILM CORPORATION

Inventor： Akihito Bettoyashiki ,  Ryo Imamura ,  Kazuhiro Makino ,  Takeyasu Kobayashi ,  Naoyuki Nishino

IPC: A61B6/00 ,  G06T7/521 ,  G06T7/00 ,  G06N5/04 ,  G06N20/00 ,  G06V40/10 ,  G06F18/24 ,  G06V10/764 ,  G06V10/82

CPC classification number: A61B6/4405 ,  A61B6/463 ,  G06F18/24 ,  G06N5/04 ,  G06N20/00 ,  G06T7/0014 ,  G06T7/521 ,  G06V10/764 ,  G06V10/82 ,  G06V40/10 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06V2201/03

Abstract: A CPU of a console comprises a color image acquisition unit, a distance image acquisition unit, a specification unit, and an estimation unit. The color image acquisition unit acquires a color image, in which a patient and a periphery of the patient are captured, from a visible light camera. The distance image acquisition unit acquires a distance image indicating a distance between a radiation tube and an object, from a TOF camera. The specification unit specifies a kind of the object in the color image. The estimation unit estimates intensity of radiation in an environment captured in the color image based on reference information including the distance image and a specification image as a specification result of the kind of the object.

公开(公告)号：US11783190B2

公开(公告)日：2023-10-10

申请号：US17261810

申请日：2019-07-03

Applicant: Robert Bosch GmbH

Inventor： Joerg Wagner ,  Tobias Gindele ,  Jan Mathias Koehler ,  Jakob Thaddaeus Wiedemer ,  Leon Hetzel

IPC: G06N3/08 ,  G06N3/084 ,  G06N3/04 ,  G06F18/241 ,  G06F18/40 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06N3/084 ,  G06F18/241 ,  G06F18/41 ,  G06N3/04 ,  G06N3/08 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V2201/03

Abstract: A method for ascertaining an explanation map of an image. All those pixels of the image are highlighted which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is being selected in such a way that it selects a smallest possible subset of the pixels of the image as relevant. The explanation map leads to the same classification result as the image when the explanation map is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.

公开(公告)号：US11776681B2

公开(公告)日：2023-10-03

申请号：US17809313

申请日：2022-06-28

Applicant: PAIGE.AI, Inc.

Inventor： Ran Godrich ,  Jillian Sue ,  Leo Grady ,  Thomas Fuchs

IPC: G06T7/00 ,  G06N20/00 ,  G16H50/20 ,  G16H70/60 ,  G16H40/20 ,  G16H10/40 ,  G16H30/40 ,  G16H70/20 ,  G16B40/20 ,  G06K9/62 ,  G06F18/214

CPC classification number: G16H30/40 ,  G06F18/214 ,  G06N20/00 ,  G06T7/0012 ,  G16B40/20 ,  G16H10/40 ,  G16H40/20 ,  G16H50/20 ,  G16H70/20 ,  G16H70/60 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06T2207/30204 ,  G06V2201/03 ,  G06V2201/04

Abstract: An image processing method including identifying, using a machine learning system, an area of interest of a target image by analyzing features extracted from image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, and a pathologist review outcome; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image.

公开(公告)号：US11769253B2

公开(公告)日：2023-09-26

申请号：US17518858

申请日：2021-11-04

Applicant: StraxCorp Pty. Ltd.

Inventor： Yu Peng

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/70 ,  G06T5/00 ,  G06T5/40 ,  G06T7/60

CPC classification number: G06T7/0012 ,  G06T5/002 ,  G06T5/009 ,  G06T5/40 ,  G06T7/11 ,  G06T7/60 ,  G06T7/70 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: A system and computer-implemented method for analysing or monitoring a subject, the method comprising: identifying one or more objects of interest that have been segmented from a first image comprising any of a baseline scan, a follow-up scan or a reference image of the subject; identifying predefined landmarks of the objects; determining reference morphometries pertaining to the objects by performing morphometrics on the objects by reference to the landmarks; selecting one or more regions of interest (ROIs) from the objects according to the reference morphometries, comprising identifying respective locations of the ROIs relative to the reference morphometries; performing a first analysis of the one or more ROIs; performing at least one corresponding second analysis of the one or more ROIs in respectively at least one second image comprising any other of a baseline scan, a follow-up scan or a reference image; and generating a comparison of one or more results of the first analysis and one or more corresponding results of the second analysis.

公开(公告)号：US20230298328A1

公开(公告)日：2023-09-21

申请号：US18130464

申请日：2023-04-04

Applicant: THYROSCOPE INC.

Inventor： Kyubo SHIN

IPC: G06V10/776 ,  G06T7/00 ,  G06T7/73 ,  H04N7/18 ,  G06V40/18 ,  G16H30/40 ,  A61B3/14 ,  A61B5/00

CPC classification number: G06V10/776 ,  G06T7/0014 ,  G06T7/73 ,  H04N7/183 ,  G06V40/193 ,  G16H30/40 ,  A61B3/14 ,  A61B5/4227 ,  G06T2207/30041 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06V2201/03

Abstract: Provided is a diagnostic system including: a user terminal configured to take an image; and a server configured to obtain diagnosis assistance information on the basis of the image. The user terminal is configured to obtain a first photographing parameter, determine whether a pre-stored condition is satisfied, and transmit the first photographing parameter and a captured image to the server when it is determined that the pre-stored condition is satisfied. The server is configured to obtain a first verification parameter, determine whether to use the captured image as a diagnostic image which includes comparing the first verification parameter with the first photographing parameter, and obtain the diagnosis assistance information by using the diagnostic image when it is determined to use the captured image as the diagnostic image.

公开(公告)号：US20230289407A1

公开(公告)日：2023-09-14

申请号：US18064759

申请日：2022-12-12

Applicant: VISIONGATE, INC.

Inventor： Michael G. Meyer ,  Laimonas Kelbauskas ,  Rahul Katdare ,  Daniel J. Sussman ,  Timothy Bell ,  Alan C. Nelson

IPC: G06K9/62 ,  G01N15/14 ,  G01N33/483 ,  G06T7/00 ,  G06T11/00 ,  G06V10/40

CPC classification number: G06K9/6281 ,  G01N15/147 ,  G01N15/1475 ,  G01N33/4833 ,  G06K9/6257 ,  G06T7/0012 ,  G06T11/003 ,  G06V10/40 ,  G01N2015/1445 ,  G06T2207/10101 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06V2201/03

Abstract: A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.

公开(公告)号：US11751766B2

公开(公告)日：2023-09-12

申请号：US17751473

申请日：2022-05-23

Applicant: BOE Technology Group Co., Ltd.

Inventor： Cheng Liu

IPC: A61B5/00 ,  G06T7/90 ,  A61B5/024 ,  A61B5/1455 ,  G06T7/00

CPC classification number: A61B5/0059 ,  A61B5/0082 ,  A61B5/02416 ,  A61B5/14551 ,  G06T7/0014 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/30101 ,  G06V2201/03

Abstract: A method for determining one or more physiological parameters of a subject. The method includes providing a plurality of images of a vessel of the subject in response to illumination of the vessel to light of different wavelengths; converting each of the plurality of images of the vessel into at least two grayscale images, thereby generating a plurality of first grayscale images of a first wavelength range and a plurality of second grayscale images of a second wavelength range, the first wavelength range and the second wavelength range being different from each other; and determining the one or more physiological parameters of the subject based on at least the plurality of first grayscale images and the plurality of second grayscale images.

公开(公告)号：US20230281814A1

公开(公告)日：2023-09-07

申请号：US18316340

申请日：2023-05-12

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T3/00 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/7253 ,  A61B5/7267 ,  G06T3/0093 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62 ,  G06V2201/03 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06T2207/20132

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e.g., without human intervention) in non-training subjects.

公开(公告)号：US11749399B2

公开(公告)日：2023-09-05

申请号：US17956955

申请日：2022-09-30

Applicant: HEALTHY.IO LTD

Inventor： Yonatan Adiri ,  Ron Zohar ,  Ido Omer ,  Nathaniel Bubis

IPC: G06T7/00 ,  G06T15/20 ,  G16H30/20 ,  A61B5/00 ,  G16H40/60 ,  G16H20/10 ,  G16H80/00 ,  G16H40/67 ,  G06V20/00 ,  G06T7/70 ,  G16H30/40 ,  G06T11/00 ,  G16H50/50 ,  G06V10/25 ,  G06T7/50 ,  G06T7/90 ,  G06T7/62 ,  G02B27/01 ,  G06T11/20 ,  H04N5/272 ,  A61B34/10 ,  G06T7/80 ,  G06V10/60 ,  G06V10/94 ,  H04N23/55 ,  H04N23/60 ,  H04N23/63 ,  H04M1/72403

CPC classification number: G16H30/20 ,  A61B5/0013 ,  A61B5/0015 ,  A61B5/0077 ,  A61B5/445 ,  A61B5/6898 ,  A61B34/10 ,  G02B27/0101 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/0016 ,  G06T7/50 ,  G06T7/62 ,  G06T7/70 ,  G06T7/80 ,  G06T7/90 ,  G06T11/00 ,  G06T11/001 ,  G06T11/203 ,  G06T15/205 ,  G06V10/25 ,  G06V10/60 ,  G06V10/94 ,  G06V20/00 ,  G16H20/10 ,  G16H30/40 ,  G16H40/60 ,  G16H40/67 ,  G16H50/50 ,  G16H80/00 ,  H04N5/272 ,  H04N23/55 ,  H04N23/635 ,  H04N23/64 ,  A61B2034/101 ,  A61B2034/107 ,  A61B2560/0223 ,  A61B2560/0233 ,  A61B2560/0276 ,  A61B2560/0431 ,  A61B2560/0487 ,  G02B2027/014 ,  G02B2027/0138 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/20212 ,  G06T2207/30004 ,  G06T2207/30088 ,  G06T2207/30244 ,  G06T2210/41 ,  G06V2201/03 ,  G06V2201/034 ,  H04M1/72403

Abstract: A non-transitory computer readable medium storing data and computer implementable instructions that, when executed by at least one processor, cause the at least one processor to perform operations for generating cross section views of a wound, the operations including receiving 3D information of a wound based on information captured using an image sensor associated with an image plane substantially parallel to the wound; generating a cross section view of the wound by analyzing the 3D information; and providing data configured to cause a presentation of the generated cross section view of the wound.

公开(公告)号：US20230274528A1

公开(公告)日：2023-08-31

申请号：US18016322

申请日：2020-07-15

Applicant: UNIVERSIDAD TÉCNICA FEDERICO SANTA MARIA

Inventor： Michelle VISCAINO ,  Fernando AUAT CHEEIN

IPC: G06V10/764 ,  G06T7/00 ,  G06V10/82 ,  G16H30/40

CPC classification number: G06V10/764 ,  G06T7/0012 ,  G06V10/82 ,  G16H30/40 ,  G06T2200/24 ,  G06T2207/10068 ,  G06T2207/20084 ,  G06T2207/30168 ,  G06T2207/20061 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06V2201/03

Abstract: The present invention provides a system and a method for assisting in the diagnosis of diseases from otolaryngology images that comprises: an apparatus for the acquisition of images of otolaryngologic endoscopy; a processor, operatively connected to said apparatus for the acquisition of otolaryngologic endoscopy images; and a user interface comprising a screen, said user interface operatively connected to said processor; wherein said processor is configured to: recognize a type of otolaryngologic endoscopic examination apparatus to which said apparatus belongs; obtain a plurality of images of otolaryngologic endoscopy from said apparatus; display said plurality of images on said screen; and identify, from said plurality of images, whether the same corresponds to any disease or to a healthy patient.