公开(公告)号：WO2023287911A1

公开(公告)日：2023-01-19

申请号：PCT/US2022/037005

申请日：2022-07-13

Applicant: NVIDIA CORPORATION

Inventor： XU, Ziyue ,  MYRONENKO, Andriy ,  YANG, Dong ,  ROTH, Holger, Reinhard ,  ZHAO, Can ,  WANG, Xiaosong ,  XU, Daguang

IPC: G06V10/44 ,  G06V10/82

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：WO2023287731A1

公开(公告)日：2023-01-19

申请号：PCT/US2022/036734

申请日：2022-07-11

Applicant: NVIDIA CORPORATION

Inventor： ZHAO, Can ,  XU, Daguang ,  ROTH, Holger Reinhard ,  XU, Ziyue ,  YANG, Dong ,  MYRONENKO, Andriy ,  TAM, Lickkong

IPC: G06T3/40

Abstract: Apparatuses, systems, and techniques to generate one or more images of an object. In at least one embodiment, a technique includes training one or more neural networks to generate one or more images of an object from at least a first image of the object and a second lower-resolution image of the object, where the training includes a comparison of the one or more generated images of the object with the second lower-resolution image of the object.

公开(公告)号：WO2022026428A1

公开(公告)日：2022-02-03

申请号：PCT/US2021/043251

申请日：2021-07-26

Applicant: NVIDIA CORPORATION

Inventor： XU, Ziyue ,  WANG, Xiaosong ,  YANG, Dong ,  ROTH, Holger, Reinhard ,  ZHAO, Can ,  ZHU, Wentao ,  XU, Daguang

IPC: G06N3/08 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to train one or more neural networks to generate labels for unsupervised or partially-supervised data. In at least one embodiment, one or more pseudolabels are generated by a training framework based on available weak annotations for an input medical image, and combined with feature information about said input medical image generated by one or more neural networks to generate a label about said input medical image.

公开(公告)号：WO2021247746A1

公开(公告)日：2021-12-09

申请号：PCT/US2021/035506

申请日：2021-06-02

Applicant: NVIDIA CORPORATION

Inventor： ZHAO, Can ,  XU, Daguang ,  ZHU, Wentao ,  YANG, Dong ,  XU, Ziyue

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/62 ,  G06K9/6271 ,  G06K9/628 ,  G06T11/20 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2210/12 ,  G06T7/0012 ,  G06V10/25 ,  G06V10/82 ,  G06V20/64 ,  G06V2201/031

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.