公开(公告)号：US11842491B2

公开(公告)日：2023-12-12

申请号：US17251513

申请日：2019-06-14

Applicant: Thomas Jefferson University

Inventor： Christopher J. Conklin ,  Feroze B. Mohamed ,  Devon M. Middleton ,  Mahdi Alizadeh

IPC: G06K9/00 ,  G06T7/00 ,  A61B34/10 ,  G06T7/187 ,  G06T7/136 ,  G06T7/155 ,  G16H20/40 ,  A61B5/055 ,  A61B5/00 ,  G06T11/00

CPC classification number: G06T7/0014 ,  A61B5/055 ,  A61B5/4566 ,  A61B5/7214 ,  A61B5/7267 ,  A61B34/10 ,  G06T7/136 ,  G06T7/155 ,  G06T7/187 ,  G06T11/005 ,  G16H20/40 ,  A61B2034/105 ,  G06T2207/10092 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30012 ,  G06T2211/424

Abstract: A method of generating a quantitative characterization of injury presence and status of spinal cord tissue using an adaptive CNN system for use in diagnostic assessment, surgical planning, and therapeutic strategy comprises preprocessing for artifact correction of diffusion based, spinal cord MRI data, training an adaptive CNN system with healthy and abnormal (injured/pathologic) spinal cord images obtained by imaging a population of healthy, typically developed spinal cord subjects and subjects with spinal cord injury, evaluating a novel, diffusion-based MRI image for injury biomarkers using the adaptive CNN system, generating a three-dimensional predictive axonal damage map for quantitative characterization and visualization of the novel, diffusion-based MRI image, and transmitting the sets of healthy and injured spinal cord images back to a central database for continued improvement of the adaptive CNN system training. A system for defining a predictive spinal axonal damage map is also described.

公开(公告)号：US20230368395A1

公开(公告)日：2023-11-16

申请号：US18333781

申请日：2023-06-13

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Zhiqiang ZHOU

IPC: G06T7/155 ,  G06T19/20

CPC classification number: G06T7/155 ,  G06T19/20 ,  G06T2207/20041 ,  G06T2207/20081 ,  G06T2219/2021 ,  G06T2207/30201

Abstract: Some embodiments of this application disclose an image processing method, including: acquiring an image-to-be-processed, the image-to-be-processed including a target part of an object, the morphology of the target part being a first morphology, and the first morphology being not matched with an expected morphology; acquiring description information corresponding to the first morphology, and acquiring contour information of the target part in the first morphology; and correcting the morphology of the target part based on the description information and the contour information so as to correct the morphology of the target part from the first morphology to a second morphology, the second morphology being matched with the expected morphology. By adopting some embodiments of the disclosure, manpower resources can be saved, and the morphology correction efficiency is improved.

公开(公告)号：US20230360198A1

公开(公告)日：2023-11-09

申请号：US17634761

申请日：2021-12-03

Applicant: CRESCOM CO., LTD.

Inventor： Jae Joon LEE

IPC: G06T7/00 ,  G06T7/73 ,  G06T7/11 ,  G06T7/155 ,  G06T7/60 ,  G16H30/40 ,  G16H50/30 ,  A61B5/00

CPC classification number: G06T7/0012 ,  G06T7/73 ,  G06T7/11 ,  G06T7/155 ,  G06T7/60 ,  G16H30/40 ,  G16H50/30 ,  A61B5/4528 ,  G06T2207/20036 ,  G06T2207/20021 ,  G06T2207/30008 ,  G06T2207/20084 ,  G06T2207/20081

Abstract: Provided is a medical image analysis method including acquiring a target medical image, detecting a target joint spacing region from the target medical image, acquiring a first value related to a width of a joint part from the target medical image, acquiring a second value related to joint spacing from the target joint spacing region, and calculating a target joint condition indicator indicating a joint condition based on the first value and the second value.

公开(公告)号：US20230289975A1

公开(公告)日：2023-09-14

申请号：US18173042

申请日：2023-02-22

Applicant: NATIONAL CHENG KUNG UNIVERSITY

Inventor： Pau-Choo CHUNG ,  Hung-Wen TSAI ,  Jyun-Sin WU ,  Yu-Hsuan LIN ,  Kuo-Sheng CHENG

IPC: G06T7/12 ,  G06T7/155 ,  G16H30/40

CPC classification number: G06T7/12 ,  G06T7/155 ,  G16H30/40 ,  G06T2207/20021 ,  G06T2207/20076 ,  G06T2207/20036 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30204 ,  G06T2207/20081

Abstract: The present invention provides a method for segmenting lipid droplets that includes: inputting a pathological slice image into a machine learning model to output a region map and an boundary map, in which the region map includes multiple regional probability values, and the boundary map includes multiple boundary probability values; and segmenting multiple lipid droplets from the pathological slice image according to the regional probability values and the boundary probability values.

公开(公告)号：US20230169675A1

公开(公告)日：2023-06-01

申请号：US17456977

申请日：2021-11-30

Applicant: FANUC CORPORATION

Inventor： Te Tang ,  Tetsuaki Kato

IPC: G06T7/73 ,  G06T7/155 ,  G06T7/33 ,  G06T7/12 ,  G06T7/593 ,  G06V20/64 ,  G06V10/34 ,  G06V10/82 ,  B25J9/16

CPC classification number: G06T7/73 ,  G06T7/155 ,  G06T7/33 ,  G06T7/12 ,  G06T7/593 ,  G06V20/64 ,  G06V10/34 ,  G06V10/82 ,  B25J9/1697 ,  G06T2207/20084 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/20036

Abstract: A system and method for identifying a box to be picked up by a robot from a stack of boxes. The method includes obtaining a 2D red-green-blue (RGB) color image of the boxes and a 2D depth map image of the boxes using a 3D camera. The method employs an image segmentation process that uses a simplified mask R-CNN executable by a central processing unit (CPU) to predict which pixels in the RGB image are associated with each box, where the pixels associated with each box are assigned a unique label that combine to define a mask for the box. The method then identifies a location for picking up the box using the segmentation image.

公开(公告)号：US20230169662A1

公开(公告)日：2023-06-01

申请号：US17536377

申请日：2021-11-29

Applicant: Centre for Intelligent Multidimensional Data Analysis Limited

Inventor： Jianfeng CAO ,  Hong YAN

IPC: G06T7/155 ,  G06T7/11 ,  G06T7/70

CPC classification number: G06T7/155 ,  G06T7/11 ,  G06T7/70 ,  G06T2207/30044 ,  G06T2207/20036 ,  G06T2200/04 ,  G06T2207/20128 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20156 ,  G06T2207/20152

Abstract: A method for generating a morphological atlas of an embryo including the steps of receiving a plurality of 3D images of the embryo representative of the morphological process of embryonic cells from a first predetermined cell population to a second predetermined cell population; processing the plurality of 3D images to derive nucleus lineage information associated with each nucleus of the embryonic cells during the morphological process; performing a membrane segmentation procedure to segment the 3D images into membrane segments; and combining the nucleus lineage information and the membrane segments to generate the morphological atlas of the embryo.

公开(公告)号：US20230132180A1

公开(公告)日：2023-04-27

申请号：US17585140

申请日：2022-01-26

Applicant: Adobe Inc.

Inventor： Chih-Yao Hsieh ,  Yilin Wang

IPC: G06T3/40 ,  G06V10/80 ,  G06T5/30 ,  G06T5/00 ,  G06T7/155

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that upsample and refine segmentation masks. Indeed, in one or more implementations, a segmentation mask refinement and upsampling system upsamples a preliminary segmentation mask utilizing a patch-based refinement process to generate a patch-based refined segmentation mask. The segmentation mask refinement and upsampling system then fuses the patch-based refined segmentation mask with an upsampled version of the preliminary segmentation mask. By fusing the patch-based refined segmentation mask with the upsampled preliminary segmentation mask, the segmentation mask refinement and upsampling system maintains a global perspective and helps avoid artifacts due to the local patch-based refinement process.

公开(公告)号：US11631174B2

公开(公告)日：2023-04-18

申请号：US17331266

申请日：2021-05-26

Applicant: Covidien LP

Inventor： Dorian Averbuch ,  Oren Weingarten ,  Leo Joskowicz ,  Igor Markov ,  Ivan Vorobeychyk ,  Ran Cohen

IPC: G06T7/00 ,  G06T7/60 ,  G06T7/11 ,  G06T7/155 ,  G06T7/187 ,  A61B34/10 ,  G06T11/20 ,  G06T15/08 ,  G06T17/00 ,  A61B34/00 ,  A61B90/00

Abstract: A method for using an assembled three-dimensional image to construct a three-dimensional model for determining a path through a lumen network to a target. The three-dimensional model is automatically registered to an actual location of a probe by tracking and recording the positions of the probe and continually adjusting the registration between the model and a display of the probe position. The registration algorithm becomes dynamic (elastic) as the probe approaches smaller lumens in the periphery of the network where movement has a bigger impact on the registration between the model and the probe display.

公开(公告)号：US11622744B2

公开(公告)日：2023-04-11

申请号：US16629210

申请日：2017-07-07

Applicant: Massachusetts Institute of Technology ,  The General Hospital Corporation

Inventor： Rose T. Faghih ,  Emery N. Brown ,  Aaron K. Styer

IPC: A61B8/08 ,  G06T7/136 ,  G06T7/12 ,  G06T7/155 ,  G16H40/67 ,  G16H30/40 ,  G06T7/00

Abstract: Methods and products for automated real-time ovarian follicular detection, monitoring and analysis are provided. The devices and methods allow for remote or local analysis, while minimizing or eliminating the need for technician review of the output images. The methods are useful in human and non-human subjects including companion animals and other animals such as endangered species.

公开(公告)号：US11568586B2

公开(公告)日：2023-01-31

申请号：US16883374

申请日：2020-05-26

Applicant: MappedIn Inc.

Inventor： Adam Hartfiel ,  Erkang Wei

IPC: G06T11/20 ,  G06N20/00 ,  G06T7/155 ,  G06T11/60 ,  G06F30/10

Abstract: A system and method for tracing polygons in a drawing source file. The method includes extracting vector imagery from the source file, creating a planar representation of the vector imagery as a plurality of lines, filtering the plurality of lines to create simplified line art, morphologically dilating the simplified line art to generate a polygonal approximation, calculating geometric difference between the source file canvas bounds and the polygonal approximation to identify contracted polygons, morphologically dilating the contracted polygons to create visual polygons, and filtering the visual polygons according to one or more geometric parameters to identify salient polygons.