公开(公告)号：US20230386030A1

公开(公告)日：2023-11-30

申请号：US18323015

申请日：2023-05-24

Applicant: SAMSUNG LIFE PUBLIC WELFARE FOUNDATION ,  Research & Business Foundation SUNGKYUNKWAN UNIVERSITY

Inventor： Woo Keun SEO ,  Yoon Chul KIM ,  Suk Woo HONG ,  Ji Eun LEE ,  Ha Na SONG ,  In Young BAEK ,  Jong Un CHOI ,  Hwan Ho CHO ,  Hyun Jin PARK ,  Jong Hoon KIM

IPC: G06T7/00 ,  G06T7/60 ,  G06T7/11 ,  G06V10/764 ,  G06V10/40 ,  G06V10/98

CPC classification number: G06T7/0012 ,  G06T7/60 ,  G06T7/11 ,  G06V10/764 ,  G06V10/40 ,  G06V10/98 ,  G06T2207/20081 ,  G06T2207/30016 ,  G06T2207/30101 ,  G06V2201/03 ,  G06T2207/10088

Abstract: A method of classifying a cerebrovascular branch in cerebrovascular image is disclosed, the method including receiving, by an analysis device, an cerebrovascular image of a subject; extracting, by the analysis device, a plurality of vascular unit structures from the cerebrovascular image based on geometric features of a 3D model; extracting, by the analysis device, feature values for each of the plurality of vascular unit structures; inputting, by the analysis device, the feature values of each of the plurality of vascular unit structures into a first learning model trained in advance, and classifying chunks to which each of the plurality of vascular unit structures belongs; and inputting, by the analysis device, the feature values of each of the vascular unit structures belonging to same chunk into a second learning model trained in advance, and classifying a vessel branch composed of the vascular unit structures belonging to the same chunk.

公开(公告)号：US20230377320A1

公开(公告)日：2023-11-23

申请号：US18031017

申请日：2021-09-30

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Xin WANG ,  Sandeep Madhukar DALAL ,  Saifeng LIU

IPC: G06V10/80 ,  G06V10/774 ,  G06T7/00

CPC classification number: G06V10/811 ,  G06V10/774 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06V2201/03

Abstract: A system and method for training a deep learning network with images of a first modality and images of a second modality to predict a diagnosis for a current image study of one of the first and second modalities. The training includes collecting training data including a plurality of datasets, each dataset including an image study of the first modality and an image study of the second modality for a single patient and clinical reason, training a first branch of the deep learning network with images of the first modality and training a second branch of the deep learning network with images of the second modality.

公开(公告)号：US11823046B2

公开(公告)日：2023-11-21

申请号：US17247786

申请日：2020-12-23

Applicant: International Business Machines Corporation

Inventor： Yaniv Gur ,  Mehdi Moradi ,  Tanveer F. Syeda-Mahmood ,  Hongzhi Wang

IPC: G06N3/08 ,  G06N20/10 ,  G06V10/44 ,  G06F18/214 ,  G06N3/045 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06F18/214 ,  G06N3/045 ,  G06N20/10 ,  G06V10/454 ,  G06V10/774 ,  G06V10/82 ,  G06V2201/03

Abstract: A method and system for automatically inferring a subject's body position in a two-dimensional image produced by a medical-imaging system are disclosed. The image is labeled with a body position selected from a semantically meaningful set of candidate positions sequenced in order of their relative locations in a subject's body. A processor performs procedures that each identify a class of image features related to pixel intensity, such as a histogram of gradients, local binary patterns, or Haar-like features. A second set of procedures employs applications of a pretrained convolutional neural network that has learned to recognize features of a specific class of medical images. The results of both types of procedures are then mapped by a pretrained support-vector machine onto candidate image labels, which are mathematically combined into a single, semantically meaningful, label most likely to identify a body position of the subject shown by the image.

公开(公告)号：US11819375B2

公开(公告)日：2023-11-21

申请号：US17543637

申请日：2021-12-06

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Maurice K. Carrier, Jr. ,  Phillip Thomas Harris ,  Sergey Vinnichenko ,  Samuel Blanco ,  Aleksandr Sergeevich Karsakov ,  Sebastien Hareng ,  Leon Rasovsky

IPC: A61C7/00 ,  A61C19/04 ,  G06T7/13 ,  G06V20/50 ,  G06V10/764 ,  A61B1/24 ,  A61B5/00 ,  G06T7/00 ,  H04N5/272 ,  H04N23/56 ,  H04N23/74 ,  A61C9/00 ,  G16H40/63

CPC classification number: A61C7/002 ,  A61B1/24 ,  A61B5/6898 ,  A61C9/0053 ,  A61C19/04 ,  G06T7/0012 ,  G06T7/13 ,  G06V10/764 ,  G06V20/50 ,  H04N5/272 ,  H04N23/56 ,  H04N23/74 ,  G06T2207/30036 ,  G06T2207/30168 ,  G06V2201/03 ,  G16H40/63

Abstract: Described herein are methods and apparatuses to obtain an image, or a set of images, of a patient's teeth from one or more predetermined viewing angles. These methods and apparatuses may include the use an overlay comprising an outline of teeth for each predetermined viewing angle. The overlay may be used for automatically capturing, focusing and/or illuminating the teeth. Also described herein are methods and apparatuses for using a series of images of the patient's teeth including a set of predetermined views to determine if a patient is a candidate for an orthopedic procedure.

公开(公告)号：US20230368381A1

公开(公告)日：2023-11-16

申请号：US18246430

申请日：2021-11-19

Applicant: CARNEGIE MELLON UNIVERSITY

Inventor： Marios SAVVIDES ,  Ibrahim Majeed ALKANHAL ,  Kai HU ,  Fangyi CHEN ,  Xiaoying ZHANG

IPC: G06T7/00 ,  G06T7/11 ,  G06V10/774 ,  G06V20/69 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06V10/774 ,  G06V20/698 ,  G06V20/695 ,  G06V10/82 ,  G06T2207/20132 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06V2201/03

Abstract: Disclosed herein is a method for training a network to detect and classify abnormal pathologies in images if cells. Specifically, the network uses a deep framework optimally trained to detect and classify abnormal cervical cells in pap smear images.

公开(公告)号：US11808701B2

公开(公告)日：2023-11-07

申请号：US16769883

申请日：2018-12-04

Applicant: Wisconsin Alumni Research Foundation

Inventor： David Charles Schwartz ,  Subhrangshu Nandi ,  Michael Abbott Newton

IPC: G06K9/00 ,  G01N21/64 ,  G16B30/00 ,  C12Q1/6818 ,  G02B21/16 ,  G02B21/36 ,  G06V20/69

CPC classification number: G01N21/6428 ,  C12Q1/6818 ,  G01N21/6458 ,  G02B21/16 ,  G02B21/365 ,  G06V20/693 ,  G06V20/695 ,  G06V20/698 ,  G16B30/00 ,  G01N2021/6439 ,  G06V2201/03

Abstract: Systems and methods for identifying sequence information from measurements made on single nucleic acid molecules are disclosed. The systems and methods can include binding portions of nucleic acid molecules with marker molecules, such as fluorescent molecules and/or intercalating molecules. The marker molecules provide a detectable signal that includes information about the underlying genomic information of the location on the nucleic acid molecule where a given marker molecule is bound. A profile of the detectable signal along a position of the nucleic acid is acquired for multiple different nucleic acid molecules. The PRIMR algorithm processes the data to provide a consensus profile from which a consensus underlying genomic information can be determined.

公开(公告)号：US11806178B2

公开(公告)日：2023-11-07

申请号：US17337433

申请日：2021-06-03

Applicant: FUJIFILM CORPORATION

Inventor： Koichi Kitano

IPC: A61B6/00 ,  A61B6/04 ,  G06T7/00 ,  G06T7/521 ,  G06T7/55 ,  G06T5/00 ,  G01N23/04 ,  G06V10/82 ,  G06V10/36

CPC classification number: A61B6/0492 ,  A61B6/5211 ,  G01N23/04 ,  G06T5/007 ,  G06T7/0014 ,  G06T7/521 ,  G06T7/55 ,  G06V10/36 ,  G06V10/82 ,  G06T2207/10028 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06V2201/03

Abstract: A CPU acquires a radiographic image obtained by imaging an imaging region where a patient is present, with a radioscopy apparatus using radiation emitted from a radiation source and applied to an irradiation field adjusted by a collimator. The CPU specifies a structure image that is included in the radiographic image and represents a structure of a specific shape having transmittance of radiation lower than the patient, based on the specific shape. The CPU executes image processing corresponding to the structure image on a patient image region imaged by a radioscopy apparatus in a case where an irradiation field excluding a position of the structure is set as the irradiation field, in a region in the radiographic image.

公开(公告)号：US20230342427A1

公开(公告)日：2023-10-26

申请号：US18343266

申请日：2023-06-28

Applicant: GE Precision Healthcare LLC

Inventor： Tao Tan ,  Gopal B. Avinash ,  Máté Fejes ,  Ravi Soni ,  Dániel Attila Szabó ,  Rakesh Mullick ,  Vikram Melapudi ,  Krishna Seetharam Shriram ,  Sohan Rashmi Ranjan ,  Bipul Das ,  Utkarsh Agrawal ,  László Ruskó ,  Zita Herczeg ,  Barbara Darázs

IPC: G06F18/214 ,  G06N5/04 ,  G16H30/40 ,  A61B5/055 ,  G06T5/50 ,  G06F18/21 ,  G06T7/30 ,  A61B5/00 ,  G16H30/20 ,  G16H50/20 ,  G16H50/50 ,  A61B6/03 ,  G06F18/22 ,  G06F18/28 ,  A61B6/00

CPC classification number: G06F18/214 ,  A61B5/055 ,  A61B5/7267 ,  A61B6/032 ,  A61B6/5223 ,  G06F18/2178 ,  G06F18/22 ,  G06F18/28 ,  G06N5/04 ,  G06T5/50 ,  G06T7/30 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20212 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Techniques are described for generating mono-modality training image data from multi-modality image data and using the mono-modality training image data to train and develop mono-modality image inferencing models. A method embodiment comprises generating, by a system comprising a processor, a synthetic 2D image from a 3D image of a first capture modality, wherein the synthetic 2D image corresponds to a 2D version of the 3D image in a second capture modality, and wherein the 3D image and the synthetic 2D image depict a same anatomical region of a same patient. The method further comprises transferring, by the system, ground truth data for the 3D image to the synthetic 2D image. In some embodiments, the method further comprises employing the synthetic 2D image to facilitate transfer of the ground truth data to a native 2D image captured of the same anatomical region of the same patient using the second capture modality.

公开(公告)号：US11800216B2

公开(公告)日：2023-10-24

申请号：US17443245

申请日：2021-07-22

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Christopher E. Cramer ,  Rajiv Venkata ,  Leela Parvathaneni ,  Phillip Thomas Harris ,  Sravani Gurijala ,  Svetozar Hubenov ,  Sebastien Hareng ,  Guotu Li ,  Yun Gao ,  Chad Clayton Brown

IPC: H04N23/60 ,  G06T7/73 ,  G06T7/246 ,  A61B5/00 ,  A61C7/00 ,  G16H20/40 ,  G16H80/00 ,  A61C7/08 ,  A61C9/00 ,  G06N3/08 ,  G16H10/60 ,  G16H50/20 ,  G06V10/44 ,  G06V10/56 ,  G06V10/98 ,  G06N3/04 ,  G06T7/00 ,  G06T7/60 ,  A61B1/24 ,  A61C7/14 ,  G06T7/80 ,  G06T7/30 ,  G06T7/70 ,  G16H40/20 ,  G16H70/20 ,  G06T17/20 ,  G16H50/50 ,  G16H30/40 ,  G06T17/00 ,  G06T19/00 ,  G06F18/21 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/042

CPC classification number: H04N23/64 ,  A61B1/24 ,  A61B5/0088 ,  A61C7/002 ,  A61C7/08 ,  A61C7/146 ,  A61C9/0053 ,  G06F18/217 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/251 ,  G06T7/30 ,  G06T7/60 ,  G06T7/70 ,  G06T7/74 ,  G06T7/80 ,  G06T17/00 ,  G06T17/20 ,  G06T19/00 ,  G06V10/443 ,  G06V10/56 ,  G06V10/98 ,  G16H10/60 ,  G16H20/40 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  G16H50/50 ,  G16H70/20 ,  G16H80/00 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/30244 ,  G06T2210/41 ,  G06V2201/03

Abstract: A method for dental treatment may include receiving photos capturing a state of a patient's dentition of a patient at a specific time, retrieving a first treatment plan to treat the patient's dentition, identifying an intended arrangement of the first treatment plan at the specific time, evaluating the photo parameters of the photos to generate alignment data to align the intended arrangement of the first treatment plan and the photos, generating an alignment mesh using the alignment data, the alignment mesh comprising a three-dimensional (3D) mesh representation of the patient's dentition at the specific time, performing an evaluation of the first treatment plan for modifications using the alignment mesh, and identifying proposed modifications to the first treatment plan based on the evaluation.

公开(公告)号：US20230335259A1

公开(公告)日：2023-10-19

申请号：US17720549

申请日：2022-04-14

Applicant: Lunit Inc.

Inventor： Kyoung Won LEE ,  Kyung Hyun PAENG

IPC: G16H30/40 ,  G16H30/20 ,  G06V10/774 ,  G06T7/00

CPC classification number: G16H30/40 ,  G16H30/20 ,  G06V10/7753 ,  G06T7/0012 ,  G06T2207/30024 ,  G06V2201/03

Abstract: A computing device obtains information about a medical slide image, and determines a dataset type of the medical slide image and a panel of the medical slide image. The computing device assigns to an annotator account, an annotation job defined by at least the medical slide image, the determined dataset type, an annotation task, and a patch that is a partial area of the medical slide image. The annotation task includes the determined panel, and the panel is designated as one of a plurality of panels including a cell panel, a tissue panel, and a structure panel. The dataset type indicates a use of the medical slide image and is designated as one of a plurality of uses including a training use of a medical learning model and a validation use of the machine learning model.