The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 19, 2019
Filed:
Jan. 16, 2018
Siemens Healthcare Gmbh, Erlangen, DE;
Shaohua Kevin Zhou, Plainsboro, NJ (US);
Shun Miao, Princeton, NJ (US);
Rui Liao, West Windsor Township, NJ (US);
Ahmet Tuysuzoglu, Franklin Park, NJ (US);
Yefeng Zheng, Princeton Junction, NJ (US);
Siemens Healthcare GmbH, Erlangen, DE;
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.