公开(公告)号：US20240169180A1

公开(公告)日：2024-05-23

申请号：US17990498

申请日：2022-11-18

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Ziyue Xu ,  Ali Hatamizadeh ,  Vishwesh Nath ,  Wenqi Li ,  Andriy Myronenko ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.

公开(公告)号：US20230036451A1

公开(公告)日：2023-02-02

申请号：US17374525

申请日：2021-07-13

Applicant: Nvidia Corporation

Inventor： Ali Hatamizadeh ,  Daguang Xu ,  Dong Yang ,  Holger Reinhard Roth ,  Andriy Myronenko ,  Vishwesh Nath ,  Yucheng Tang

IPC: G06T3/00 ,  G06K9/34 ,  G06K9/00 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, one or more neural networks are used to help generate one or more segmentation boundaries of one or more objects within one or more digital images, wherein the one or more neural networks are to transform one or more representations of one or more portions of the one or more objects into one or more lower-dimensional representations of the one or more portions of the one or more objects.

公开(公告)号：US20230033075A1

公开(公告)日：2023-02-02

申请号：US17374384

申请日：2021-07-13

Applicant: Nvidia Corporation

Inventor： Ziyue Xu ,  Andriy Myronenko ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Xiaosong Wang ,  Daguang Xu

IPC: G06T7/11 ,  G06N3/08 ,  G06N3/04 ,  G06T7/00 ,  G16H30/40 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, boundaries of an object within an image can be identified based, at least in part, on a user-generated outline of only a portion of this object or information about a size of this object provided by a user.

公开(公告)号：US20220059221A1

公开(公告)日：2022-02-24

申请号：US17000982

申请日：2020-08-24

Applicant: NVIDIA Corporation

Inventor： Wentao Zhu ,  Daguang Xu ,  Peiying Ruan ,  Dong Yang ,  Ziyue Xu ,  Holger Reinhard Roth

IPC: G16H50/20 ,  G16H70/20 ,  G16H50/70 ,  G16H30/20 ,  G16H30/40 ,  G16H10/40 ,  G16H40/20 ,  G16H50/80 ,  G16H20/40 ,  G16H50/50 ,  G06N3/08 ,  G06K9/62 ,  G06T7/00 ,  A61B6/03

Abstract: Apparatuses, systems, and techniques to train one or more neural networks based, at least in part on, medical imaging data and clinical metadata or inference using one or more neural networks trained as such. In at least one embodiment, one or more circuits to train one or more neural network to predict a treatment for a patient suspected to have or confirmed to have COVID-19 based, at least in part on, medical imaging data and clinical metadata.

公开(公告)号：US20210383533A1

公开(公告)日：2021-12-09

申请号：US16891368

申请日：2020-06-03

Applicant: NVIDIA Corporation

Inventor： Can Zhao ,  Daguang Xu ,  Wentao Zhu ,  Dong Yang ,  Ziyue Xu

IPC: G06T7/00 ,  G06T11/20

Abstract: In at least one embodiment, an object detection system uses a neural network to identify and/or locate a set of organs in a medical image. In at least one embodiment, when training to identify and/or locate a particular organ, a subset of incompletely-labeled training images is used that excludes training images for which labels associated with particular organ are unavailable.

公开(公告)号：US20210374547A1

公开(公告)日：2021-12-02

申请号：US16889670

申请日：2020-06-01

Applicant: NVIDIA Corporation

Inventor： Xiaosong Wang ,  Ziyue Xu ,  Dong Yang ,  Lickkong Tam ,  Daguang Xu

IPC: G06N3/08 ,  G06N3/04 ,  G06F40/20 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques to select labels of training images to train a network. In at least one embodiment, one or more labels of training images are selected to train a network.

公开(公告)号：US20210334975A1

公开(公告)日：2021-10-28

申请号：US16856823

申请日：2020-04-23

Applicant: Nvidia Corporation

Inventor： Dong Yang ,  Holger Roth ,  Xiaosong Wang ,  Ziyue Xu ,  Andriy Myronenko ,  Daguang Xu

IPC: G06T7/11 ,  G06T7/12 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques are presented to predict segmentations for objects in images. In at least one embodiment, a neural network is trained to determine one or more segmentation masks corresponding to one or more objects of one or more digital images based, at least in part, on one or more boundary regions of the one or more objects.

公开(公告)号：US20210073995A1

公开(公告)日：2021-03-11

申请号：US16568161

申请日：2019-09-11

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Holger Reinhard Roth ,  Ziyue Xu ,  Fausto Milletari ,  Ling Zhang ,  Te-Chung Isaac Yang ,  Daguang Xu

IPC: G06T7/10 ,  G06T7/00 ,  G06T5/00 ,  G06N3/04

Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.