公开(公告)号：US20220092768A1

公开(公告)日：2022-03-24

申请号：US17122709

申请日：2020-12-15

Applicant: GE Precision Healthcare LLC

Inventor： Vikram Melapudi ,  Bipul Das ,  Krishna Seetharam Shriram ,  Prasad Sudhakar ,  Rakesh Mullick ,  Sohan Rashmi Ranjan ,  Utkarsh Agarwal

IPC: G06T7/00 ,  G06T5/00 ,  G06T7/10 ,  G06T11/00 ,  A61B6/00

Abstract: Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.

公开(公告)号：US11657501B2

公开(公告)日：2023-05-23

申请号：US17122709

申请日：2020-12-15

Applicant: GE Precision Healthcare LLC

Inventor： Vikram Melapudi ,  Bipul Das ,  Krishna Seetharam Shriram ,  Prasad Sudhakar ,  Rakesh Mullick ,  Sohan Rashmi Ranjan ,  Utkarsh Agarwal

IPC: G06T7/00 ,  G06T5/00 ,  G06T7/10 ,  G06T11/00 ,  A61B6/00

CPC classification number: G06T7/0012 ,  A61B6/482 ,  G06T5/00 ,  G06T7/10 ,  G06T11/003 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/10116 ,  G06T2207/20081

Abstract: Techniques are provided for generating enhanced image representations from original X-ray images using deep learning techniques. In one embodiment, a system is provided that includes a memory storing computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a reception component, an analysis component, and an artificial intelligence component. The analysis component analyzes the original X-ray image using an AI-based model with respect to a set of features of interest. The AI component generates a plurality of enhanced image representations. Each enhanced image representation highlights a subset of the features of interest and suppresses remaining features of interest in the set that are external to the subset.