Invention Grant
- Patent Title: Machine learning generation of low-noise and high structural conspicuity images
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Application No.: US17543234Application Date: 2021-12-06
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Publication No.: US12141900B2Publication Date: 2024-11-12
- Inventor: Rajesh Veera Venkata Lakshmi Langoju , Utkarsh Agrawal , Bipul Das , Risa Shigemasa , Yasuhiro Imai , Jiang Hsieh
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Milwaukee
- Assignee: GE Precision Healthcare LLC
- Current Assignee: GE Precision Healthcare LLC
- Current Assignee Address: US WI Milwaukee
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06N20/20 ; G06T5/50 ; G06T5/70

Abstract:
Systems/techniques that facilitate machine learning generation of low-noise and high structural conspicuity images are provided. In various embodiments, a system can access an image and can apply at least one of image denoising or image resolution enhancement to the image, thereby yielding a first intermediary image. In various instances, the system can generate, via execution of a plurality of machine learning models, a plurality of second intermediary images based on the first intermediary image, wherein a given machine learning model in the plurality of machine learning models receives as input the first intermediary image, wherein the given machine learning model produces as output a given second intermediary image in the plurality of second intermediary images, and wherein the given second intermediary image represents a kernel-transformed version of the first intermediary image. In various cases, the system can generate a blended image based on the plurality of second intermediary images.
Public/Granted literature
- US20230177747A1 MACHINE LEARNING GENERATION OF LOW-NOISE AND HIGH STRUCTURAL CONSPICUITY IMAGES Public/Granted day:2023-06-08
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |