Domänenübergreifende Bildanalyse und Domänenübergreifende Bildsynthese unter Verwendung von Tiefgehenden Bild-Zu-Bild-Netzwerken und Gegnerischen Netzwerken

Details

Veröffentlichungs-Nr.

EP3511942

Aktenzeichen

EP19151565

Anmeldetag

14. Januar 2019

Veröffentlichung

1. November 2023

Erteilung

1. November 2023

Rechtsraum

EP

IPC

G16H30/40G06N3/04G06T7/00G06N3/084G06N3/045G06N3/047

Abstract

Methods and apparatus for cross-domain medical image analysis and cross-domain medical image synthesis using deep image-to-image networks and adversarial networks are disclosed. In a method for cross-domain medical image analysis a medical image of a patient from a first domain is received. The medical image is input to a first encoder of a cross-domain deep image-to-image network (DI2IN) that includes the first encoder for the first domain, a second encoder for a second domain, and a decoder. The first encoder converts the medical image to a feature map and the decoder generates an output image that provides a result of a medical image analysis task from the feature map. The first encoder and the second encoder are trained together at least in part based on a similarity of feature maps generated by the first encoder from training images from the first domain and feature maps generated by the second encoder from training images from the second domain, and the decoder is trained to generate output images from feature maps generated by the first encoder or the second encoder.

Anmelder

Firmen

Siemens Healthineers AG
Siemens Healthcare GmbH

Land

🇩🇪 Deutschland

Fachgebiete