公开(公告)号：US11850004B2

公开(公告)日：2023-12-26

申请号：US17055042

申请日：2019-05-14

Applicant: INTUITIVE SURGICAL OPERATIONS, INC.

Inventor： Jonathan Michael Sorger ,  Ian E. McDowall

IPC: A61B34/10 ,  A61B34/00 ,  A61B90/00 ,  G06T7/00 ,  G06T11/00 ,  H04N7/18 ,  A61B34/35

CPC classification number: A61B34/10 ,  A61B34/25 ,  A61B90/361 ,  G06T7/0014 ,  G06T11/00 ,  H04N7/183 ,  A61B34/35 ,  A61B2034/105 ,  A61B2034/252 ,  A61B2090/363 ,  A61B2090/365 ,  G06T2200/24 ,  G06T2207/30004 ,  G06V2201/03

Abstract: A system and method for performing a teleoperational medical procedure is provided. In an example, a medical system includes an imaging instrument, a processor coupled to the imaging instrument, and a non-transitory computer memory coupled to the processor. The non-transitory computer memory stores machine-executable instructions that, when executed, cause the processor to: receive, from the imaging instrument, an image of a patient anatomy, wherein the patient anatomy includes a tissue within a tissue bed; receive an ex vivo model of the tissue after removal of the tissue from the tissue bed; and determine an arrangement of the tissue in the tissue bed from the ex vivo model and the image of the patient anatomy.

公开(公告)号：US20230389863A1

公开(公告)日：2023-12-07

申请号：US18269501

申请日：2022-01-07

Applicant: RESMED SENSOR TECHNOLOGIES LIMITED

Inventor： Redmond SHOULDICE ,  Jose Ricardo DOS SANTOS ,  Jeffrey Peter ARMITSTEAD

IPC: A61B5/00 ,  A61B5/01 ,  G06T7/00 ,  G06V10/764 ,  G06V10/143

CPC classification number: A61B5/4818 ,  A61B5/7275 ,  A61B5/015 ,  A61B5/4872 ,  G06T7/97 ,  G06T7/0012 ,  G06V10/764 ,  G06V10/143 ,  G06T2207/10048 ,  G06T2207/30004 ,  G06V2201/03 ,  G06T2200/24

Abstract: The disclosure provides methods for diagnosis or prediction of the likelihood of a subject experiencing obstructive sleep apnea, determined at least in part by measuring the degree of tongue fat in a subject using, e.g., thermal imaging, THz imaging or other multispectral imaging.

公开(公告)号：US11836998B2

公开(公告)日：2023-12-05

申请号：US17056080

申请日：2019-05-23

Applicant: UNIVERSITY OF PITTSBURGH—OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION

Inventor： Srinivas C. Chennubhotla ,  Douglass L. Taylor ,  Shikhar Uttam Fnu

IPC: G06V20/69 ,  G16H50/20 ,  G16H30/40 ,  G06V10/26 ,  G06V10/50 ,  G06F18/211 ,  G06F18/21 ,  G06V10/771 ,  G06V10/776 ,  G06N20/00

CPC classification number: G06V20/698 ,  G06F18/211 ,  G06F18/217 ,  G06V10/26 ,  G06V10/50 ,  G06V10/771 ,  G06V10/776 ,  G16H30/40 ,  G16H50/20 ,  G06N20/00 ,  G06V2201/03

Abstract: A method of predicting cancer recurrence risk for an individual includes receiving patient spatial multi-parameter cellular and sub-cellular imaging data for a tumor of the individual, and analyzing the patient spatial multi-parameter cellular and sub-cellular imaging data using a prognostic model for predicting cancer recurrence risk to determine a predicted cancer recurrence risk for the individual, wherein the joint prognostic model is based on spatial correlation statistics among features derived for a plurality of intra-tumor spatial domains from spatial multi-parameter cellular and sub-cellular imaging data obtained from a plurality of cancer patients.

公开(公告)号：US20230386177A1

公开(公告)日：2023-11-30

申请号：US18032131

申请日：2021-10-08

Applicant: Sony Group Corporation

Inventor： Takayoshi Hirai

IPC: G06V10/764 ,  G06T7/11 ,  G06T11/60 ,  G06T7/00

CPC classification number: G06V10/764 ,  G06T7/11 ,  G06T11/60 ,  G06T7/0012 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30096 ,  G06V2201/03

Abstract: The present disclosure relates to a medical image processing system, a medical image processing method, and a program that facilitate understanding of the criterion or the reason of a determination made by a machine learning model.
An estimation unit estimates classification of a medical image with use of a machine learning model. A first calculation unit calculates first ground information indicative of estimation ground of the classification by a first explanation technique, and a second calculation unit estimates second ground information indicative of estimation ground of the classification by a second explanation technique different from the first explanation technique. An output controlling unit controls output of a first explanation image based on the first ground information and a second explanation image based on the second ground information. The present disclosure can be applied to a medical image processing system.

公开(公告)号：US20230386028A1

公开(公告)日：2023-11-30

申请号：US18321132

申请日：2023-05-22

Applicant: Lunit Inc.

Inventor： Ga Hee PARK ,  Kyung Hyun PAENG ,  Chan Young OCK ,  Sang Hoon SONG ,  Suk Jun KIM

IPC: G06T7/00 ,  G06V20/69 ,  G16H30/40 ,  G16H15/00

CPC classification number: G06T7/0012 ,  G06V20/698 ,  G16H30/40 ,  G16H15/00 ,  G06T2207/30096 ,  G06T2207/30204 ,  G06T2207/30168 ,  G06V2201/03 ,  G06T2207/30024

Abstract: A computing device includes at least one memory, and at least one processor configured to analyze at least one object expressed in a pathological slide image, evaluate quality of the pathological slide image based on a result of the analyzing, and perform at least one additional operation according to a result of the evaluating.

公开(公告)号：US20230380708A1

公开(公告)日：2023-11-30

申请号：US18324944

申请日：2023-05-26

Applicant: Stryker European Operations Limited

Inventor： Marc ANDRÉ ,  Arthur E. BAILEY

IPC: A61B5/026 ,  G06T3/40 ,  G06T7/00 ,  G06T7/20 ,  G06T5/50 ,  A61B5/00 ,  G06T5/00 ,  G06V10/25

CPC classification number: A61B5/0261 ,  G06T3/40 ,  G06T7/0014 ,  G06T7/20 ,  G06T5/50 ,  A61B5/7214 ,  G06T5/001 ,  G06V10/25 ,  A61B2576/00 ,  G06T2207/30004 ,  G06T2207/30204 ,  G06V2201/03

Abstract: A device for providing reference information in laser speckle medical imaging of tissue of a subject can include a support that includes a marker for image recognition and a speckle target region that is nontransparent to light in a first illumination wavelength range and that generates a speckle pattern when illuminated with light in the first wavelength range. The support can be configured to be attachable to tissue of the subject.

公开(公告)号：US11823106B2

公开(公告)日：2023-11-21

申请号：US16365780

申请日：2019-03-27

Applicant: Enlitic, Inc.

Inventor： Kevin Lyman ,  Li Yao ,  Eric C. Poblenz ,  Jordan Prosky ,  Ben Covington ,  Anthony Upton

IPC: G16H30/40 ,  G06N5/04 ,  G16H50/70 ,  G06Q10/06 ,  G06T7/187 ,  G06T7/44 ,  G06T7/10 ,  G06T7/11 ,  G16H40/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H50/20 ,  G16H10/20 ,  G06F16/245 ,  G06N20/20 ,  G06N20/00 ,  G06V10/25 ,  G06V10/82 ,  G06V10/764 ,  G06V30/19 ,  H04L67/01 ,  G06F18/2115 ,  G06F18/214 ,  G06F18/2415 ,  G06F3/0482 ,  G06F3/0484 ,  G06N5/045 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/50 ,  G06T7/12 ,  H04L67/12 ,  G06T7/70 ,  G16H50/30 ,  G06F40/295 ,  G06V30/194 ,  G06F18/24 ,  A61B5/055 ,  G06Q50/22 ,  G06Q10/0631 ,  G06T5/00 ,  G06T7/00 ,  G06T11/00 ,  G06F9/54 ,  A61B5/00 ,  G06F21/62 ,  G06T11/20 ,  G06F18/40 ,  G06F18/21 ,  G06V40/16 ,  G06V10/22 ,  A61B6/03 ,  A61B8/00 ,  A61B6/00 ,  G06F18/2111

CPC classification number: G06Q10/06315 ,  A61B5/7264 ,  G06F3/0482 ,  G06F3/0484 ,  G06F9/542 ,  G06F16/245 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2115 ,  G06F18/2415 ,  G06F18/41 ,  G06F21/6254 ,  G06N5/04 ,  G06N5/045 ,  G06N20/00 ,  G06N20/20 ,  G06Q20/14 ,  G06T3/40 ,  G06T5/002 ,  G06T5/008 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/10 ,  G06T7/11 ,  G06T7/187 ,  G06T7/44 ,  G06T7/97 ,  G06T11/001 ,  G06T11/006 ,  G06T11/206 ,  G06V10/225 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V30/19173 ,  G06V40/171 ,  G16H10/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  H04L67/01 ,  H04L67/12 ,  A61B5/055 ,  A61B6/032 ,  A61B6/5217 ,  A61B8/4416 ,  G06F18/2111 ,  G06F18/24 ,  G06F40/295 ,  G06Q50/22 ,  G06T7/70 ,  G06T2200/24 ,  G06T2207/10048 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30008 ,  G06T2207/30016 ,  G06T2207/30061 ,  G06V30/194 ,  G06V2201/03 ,  G16H50/30 ,  G16H50/70

Abstract: A location-based medical scan analysis system is operable to generate a generic model by performing a training step on image data of a plurality of medical scans. Location-based subsets of the plurality of medical scans are generated by including ones of the plurality of medical scans with originating locations that compare favorably to location grouping criteria for the each location-based subset. A plurality of location-based models are generated by performing a fine-tuning step on the generic model, utilizing a corresponding one of the plurality of location-based subsets. Inference data is generated for a new medical scan by utilizing one of the location-based models on the new medical scan, where an originating location associated with the new medical scan compares favorably to location grouping criteria for the location-based subset utilized to generate the location-based model. The inference data is transmitted to a client device for display via a display device.

公开(公告)号：US11817204B2

公开(公告)日：2023-11-14

申请号：US17116366

申请日：2020-12-09

Applicant: Case Western Reserve University

Inventor： Anant Madabhushi ,  Nathaniel Braman ,  Tristan Maidment ,  Yijiang Chen

IPC: G16H30/40 ,  G06T7/00 ,  A61B6/00 ,  A61B6/02 ,  G16H50/20 ,  G06N3/04 ,  G06T7/11 ,  G06F18/214 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82

CPC classification number: G16H30/40 ,  A61B6/025 ,  A61B6/469 ,  A61B6/502 ,  A61B6/5217 ,  G06F18/214 ,  G06N3/04 ,  G06T7/0012 ,  G06T7/11 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H50/20 ,  G06T2207/10112 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096 ,  G06V2201/03

Abstract: Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.

公开(公告)号：US11817203B2

公开(公告)日：2023-11-14

申请号：US16498667

申请日：2018-03-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Seungsoo Kim ,  Balasundar Iyyavu Raju

IPC: G16H30/40 ,  G16H50/20 ,  G06N20/00 ,  A61B8/08 ,  G06N3/02 ,  G16H50/70 ,  G06T7/00

CPC classification number: G16H30/40 ,  A61B8/483 ,  G06N3/02 ,  G06N20/00 ,  G16H50/20 ,  G06T7/0012 ,  G06T2207/30061 ,  G06V2201/03 ,  G16H50/70

Abstract: Ultrasound image devices, systems, and methods are provided. A clinical condition detection system, comprising a communication device in communication with an ultrasound imaging device and configured to receive a sequence of ultrasound image frames representative of a subject body across a time period; and a processor in communication with the communication device and configured to classify the sequence of ultrasound image frames into a first set of clinical characteristics by applying a first predictive network to the sequence of ultrasound image frames to produce a set of classification vectors representing the first set of clinical characteristics; and identify a clinical condition of the subject body by applying a second predictive network to the set of classification vectors.

公开(公告)号：US11816895B2

公开(公告)日：2023-11-14

申请号：US17313241

申请日：2021-05-06

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Sihong Chen

IPC: G06V20/00 ,  G06V20/40 ,  G06F18/213 ,  G06F18/21 ,  G06V10/77 ,  G06V10/776 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06V20/46 ,  G06F18/213 ,  G06F18/217 ,  G06V10/454 ,  G06V10/776 ,  G06V10/7715 ,  G06V10/82 ,  G06V2201/03 ,  G06V2201/07

Abstract: A target detection method is provided for a computing device. The method includes obtaining a current frame and a previous key frame corresponding to the current frame in a video frame sequence, determining a flow feature map and a flow field between the previous key frame and the current frame, obtaining, in response to determining the current frame is a non-key frame according to the flow feature map, a key frame feature corresponding to the previous key frame, and performing affine transformation on the key frame feature according to the flow field to obtain an image feature corresponding to the current frame, and performing target detection on the current frame according to the image feature to obtain a target detection result of the current frame.