Verfahren zum Trainieren eines Signalentrauschungsmodells, Signalentrauschungsverfahren und Vorrichtung

EP4819033 7. Oktober 2026

Anmelder: Shanghai United Imaging Healthcare Co., Ltd. 🇨🇳

Details

Veröffentlichungs-Nr.
EP4819033
Anmeldetag
7. April 2026
Veröffentlichung
7. Oktober 2026
Rechtsraum
EP
IPC
G06T5/60, G06T5/70
Offizieller Volltext

Abstract

The present application relates to a method for training a signal denoising model, a signal denoising method, and a device. According to the present application, the method includes: performing stage-by-stage denoising training on a multi-stage network based on training signal data corresponding to the multi-stage network, to obtain a signal denoising model, obtaining, when a current stage subjected to the stage-by-stage denoising training is not a first stage, a loss value of a current-stage network based on training signal data corresponding to the current-stage network, and after gradient descent is performed individually on the current-stage network based on the loss value, performing, based on the loss value, gradient descent jointly on current multiple stages of the network that have undergone the gradient descent individually.

Anmelder

Firma
Shanghai United Imaging Healthcare Co., Ltd.
Land
🇨🇳 China
🇨🇳 Shanghai United Imaging Healthcare

Chinesisches Medizintechnikunternehmen, entwickelt und produziert bildgebende Diagnosesysteme wie CT-, MRT- und PET-Geräte sowie Strahlentherapiegeräte.

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