公开(公告)号：US20230334666A1

公开(公告)日：2023-10-19

申请号：US17952234

申请日：2022-09-24

Applicant: PSIP LLC

Inventor： Salmaan HAMEED ,  Giau NGUYEN

IPC: G06T7/00 ,  G01B11/30 ,  G01B11/03 ,  G06V10/50 ,  G06V10/44 ,  A61B1/00

CPC classification number: G06T7/0014 ,  G01B11/30 ,  G01B11/03 ,  G06V10/50 ,  G06V10/454 ,  A61B1/000094 ,  A61B1/000096 ,  A61B1/0014 ,  A61B1/00177 ,  A61B1/00181 ,  G06V2201/032 ,  G06V2201/034 ,  A61B1/00101 ,  G06K9/6273

Abstract: Identifying polyps or lesions in a colon. In some variations, computer-implemented methods for polyp detection may be used in conjunction with an endoscope system to analyze the images captured by the endoscopic system, identify any polyps and/or lesions in a visual scene captured by the endoscopic system, and provide an indication to the practitioner that a polyp and/or lesion has been detected.

公开(公告)号：US11734927B2

公开(公告)日：2023-08-22

申请号：US17456470

申请日：2021-11-24

Applicant: Optum Technology, Inc.

Inventor： Yash Sharma ,  Vivek R. Dwivedi ,  Anshul Verma

IPC: G06V20/20 ,  G06T7/12 ,  G06T7/246 ,  G06T19/00 ,  G06T7/50 ,  G06F3/01 ,  G06F18/22

CPC classification number: G06V20/20 ,  G06F3/013 ,  G06F18/22 ,  G06T7/12 ,  G06T7/246 ,  G06T7/50 ,  G06T19/006 ,  G06T2207/10028 ,  G06T2207/30196 ,  G06V2201/034

Abstract: In general, embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing mixed reality processing using at least one of depth-based partitioning of a point cloud capture data object, object-based partitioning of a point cloud capture data object, mapping a partitioned point cloud capture data object to detected objects of a three-dimensional scan data object, performing noise filtering on point cloud capture data objects based at least in part on geometric inferences from three-dimensional scan data objects, and performing geometrically-aware object detection using point cloud capture data objects based at least in part on geometric inferences from three-dimensional scan data objects.

公开(公告)号：US20230187053A1

公开(公告)日：2023-06-15

申请号：US18166590

申请日：2023-02-09

Applicant: HEALTHY.IO LTD

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

IPC: G16H30/20 ,  A61B5/00 ,  G16H40/60 ,  G16H20/10 ,  G16H80/00 ,  G16H40/67 ,  G06V20/00 ,  G06T7/70 ,  G16H30/40 ,  G06T7/00 ,  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 ,  G06T15/20 ,  H04N23/55 ,  H04N23/60 ,  H04N23/63

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

Abstract: Disclosed are processes including receiving at least a first and a second image data record corresponding to a first and a second point in time and including a first and a second one or more images of a wound; obtaining an image of the wound from a particular point of view corresponding to the first point in time by analyzing the first image data record; generating a simulated image of the wound from the particular point of view corresponding to the second point in time by analyzing the second image data record; and generating a visual time series view of the wound including at least the image of the wound from the particular point of view corresponding to the first point in time and the simulated image of the wound from the particular point of view corresponding to the second point in time.

公开(公告)号：US20230177703A1

公开(公告)日：2023-06-08

申请号：US18077912

申请日：2022-12-08

Applicant: Verb Surgical Inc.

Inventor： Mona FATHOLLAHI GHEZELGHIEH ,  Jocelyn BARKER

IPC: G06T7/246 ,  G06V10/26 ,  G06V10/82 ,  G06V10/764 ,  G06V10/74 ,  G06V10/77 ,  G06V10/774 ,  A61B34/20

CPC classification number: G06T7/246 ,  A61B34/20 ,  G06V10/26 ,  G06V10/82 ,  G06V10/761 ,  G06V10/764 ,  G06V10/774 ,  G06V10/7715 ,  A61B2034/2065 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06V2201/034

Abstract: Disclosed are various systems and techniques for tracking surgical tools in a surgical video. In one aspect, the system begins by receiving one or more established tracks for one or more previously-detected surgical tools in the surgical video. The system then processes a current frame of the surgical video to detect one or more objects using a first deep-learning model. Next, for each detected object in the one or more detected objects, the system further performs the flowing steps to assign the detected object to a right track: (1) computing a semantic similarity between the detected object and each of the one or more established tracks; (2) computing a spatial similarity between the detected object and the latest predicted location for each of the one or more established tracks; and (3) attempting to assign the detected object to one of the one or more established tracks based on the computed semantic similarity and the spatial similarity metric.

公开(公告)号：US20230162364A1

公开(公告)日：2023-05-25

申请号：US17990392

申请日：2022-11-18

Applicant: Verily Life Sciences LLC

Inventor： George Leifman ,  Amit Aides ,  Tomer Golany ,  Daniel Freedman ,  Ehud Rivlin

IPC: G06T7/10 ,  G06V10/764

CPC classification number: G06T7/10 ,  G06V10/764 ,  G06T2207/20084 ,  G06V2201/034

Abstract: A computer system may perform an image-related function using a segmentation (e.g., an image mask) that has been generated by a custom segmentation machine learning model. To begin, the system may receive image data corresponding to a surgical scene including a background that includes an anatomical feature and at least one surgical tool. The system may also generate segmentation data using the custom segmentation machine learning model based on inputting the first image data to the custom segmentation machine learning model. The system may also include generating a segmentation of the at least one surgical tool using the segmentation data. Once the segmentation has been generated, the system may perform an image-related function using the segmentation.

公开(公告)号：US20240296658A1

公开(公告)日：2024-09-05

申请号：US18588865

申请日：2024-02-27

Applicant: The Chancellor, Masters and Scholars of the University of Oxford ,  Oxford University Innovation Limited ,  Boston Scientific Scimed Inc.

Inventor： Soumya Gupta ,  Sharib Ali ,  Jens Rittscher ,  Benjamin Turney ,  Niraj Prasad Rauniyar ,  Aditi Ray ,  Longquan Chen

IPC: G06V10/764 ,  A61B1/00 ,  A61B1/307 ,  A61B18/26 ,  G06V10/14 ,  G06V10/22 ,  G06V10/26 ,  G06V10/34 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/764 ,  A61B1/000095 ,  A61B1/000096 ,  A61B1/00045 ,  A61B1/307 ,  A61B18/26 ,  G06V10/14 ,  G06V10/22 ,  G06V10/26 ,  G06V10/34 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V2201/034

Abstract: This disclosure teaches multi-classification of endoscopic imaging using a segmentation neural network. The network is trained on imaging data using a novel loss function with components of both focal and boundary loss. During a lithotripsy procedure, images are received by a deployed endoscopic probe. Based on the received imaging data and inference data from its prior learning, the segmentation neural network identifies renal calculi and surgical instruments within the imaging data. The imaging data is modified and displayed to assist the lithotripsy procedure.

公开(公告)号：US12076207B2

公开(公告)日：2024-09-03

申请号：US17248749

申请日：2021-02-05

Applicant: ALIGN TECHNOLOGY, INC.

Inventor： Ping Liu ,  Luyao Cai

IPC: A61C7/08 ,  A61C7/00 ,  A61C7/36 ,  G06F18/22

CPC classification number: A61C7/08 ,  A61C7/002 ,  A61C7/36 ,  G06F18/22 ,  G06V2201/034

Abstract: The disclosed computer-implemented method for selecting locations of mandibular relocation features (MRFs) on oral appliances may include determining candidate locations for placing an MRF on a first oral appliance for a first stage of mandibular relocation (MR) treatment and determining candidate locations for placing an MRF on a second oral appliance for a second stage. The method may include selecting from the candidate locations for the first stage and the second stage based on decreasing a distance between the selected pair of candidate locations. The method may further include processing multiple MRFs in parallel. The method may also include increasing a number of initial candidate locations. Locations for intermediate stages may be selected based on interpolating between the first and second stages or based on decreasing a distance between the selected pair if the interpolation fails. The intermediate stages may be processed using a binary search or a linear search.

公开(公告)号：US20240268923A1

公开(公告)日：2024-08-15

申请号：US18644229

申请日：2024-04-24

Applicant: Clear Biopsy LLC

Inventor： Steven POPLAW

IPC: A61B90/92 ,  A61B34/20 ,  A61B90/00 ,  G06T11/00 ,  G06V10/26 ,  G06V10/44 ,  G06V10/77 ,  G06V20/50

CPC classification number: A61B90/92 ,  A61B34/20 ,  G06T11/001 ,  G06V10/26 ,  G06V10/44 ,  G06V10/77 ,  G06V20/50 ,  A61B2034/2065 ,  A61B2090/365 ,  A61B2090/378 ,  G06T2210/41 ,  G06V2201/034

Abstract: A system including a biopsy needle device having a cannula with a distal end configured to sever a tissue sample, and a trocar disposed within the cannula having a notch configured to retain a tissue sample, wherein at least one of the cannula and the trocar is divided into at least two segments including different echogenic coatings, an ultrasound probe, and a processor configured and arranged to collect images from the ultrasound probe and color code the at least two segments based on at least one characteristic relating to different echogenic coatings, surface textures, surface contours and dimensions of the biopsy device.

公开(公告)号：US12053310B2

公开(公告)日：2024-08-06

申请号：US17734434

申请日：2022-05-02

Applicant: The Cleveland Clinic Foundation

Inventor： Thomas Kadavy ,  Cristiano Quintini ,  Douglas R. Johnston ,  Edward G. Soltesz ,  Jose Romero ,  William Kolosi

IPC: A61B50/33 ,  A61B50/30 ,  F21V8/00 ,  G02B27/30 ,  G06V10/145 ,  G06V20/00 ,  H04N23/56

CPC classification number: A61B50/33 ,  A61B50/3001 ,  G02B6/0006 ,  G02B6/001 ,  G02B27/30 ,  G06V10/145 ,  G06V20/00 ,  H04N23/56 ,  G06V2201/034

Abstract: A needle collection and counting tray for use in a clinical setting, such as an operating room, into which a user deposits used needles. The tray is then placed into a counting and identification machine the utilizes object recognition technology to identify and count the needles on the tray.

公开(公告)号：US12041385B2

公开(公告)日：2024-07-16

申请号：US17940079

申请日：2022-09-08

Applicant: OLYMPUS CORPORATION

Inventor： Hiroshi Tanaka ,  Yamato Kanda ,  Makoto Kitamura ,  Akihiro Kubota ,  Takao Tsuruoka

IPC: H04N5/91 ,  G06T7/20 ,  G06V10/60 ,  G06V10/774 ,  H04N5/765

CPC classification number: H04N5/91 ,  G06T7/20 ,  G06V10/60 ,  G06V10/774 ,  H04N5/765 ,  G06T2207/10068 ,  G06T2207/30004 ,  G06V2201/034

Abstract: An image recording system includes a processor. The processor acquires a time series RAW image group including a plurality of time series RAW images in a first time section. The processor extracts, from the time series RAW image group, a recording candidate RAW image group included in a second time section as a part of the first time section. The processor records at least one RAW image included in the recording candidate RAW image group as a recording target RAW image which is a RAW image to be recorded. The processor selects the recording target RAW image from the recording candidate RAW image group. The processor converts the RAW image which is not selected as the recording target RAW image from the recording candidate RAW image group or the time series RAW image group to compressed data, and records the compressed data.