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:
Feb. 18, 2020
Filed:
Jun. 04, 2018
Siemens Healthcare Gmbh, Erlangen, DE;
Siqi Liu, Princeton, NJ (US);
Daguang Xu, Princeton, NJ (US);
Shaohua Kevin Zhou, Plainsboro, NJ (US);
Thomas Mertelmeier, Erlangen, DE;
Julia Wicklein, Neunkirchen a. Br., DE;
Anna Jerebko, Paoli, PA (US);
Sasa Grbic, Plainsboro, NJ (US);
Olivier Pauly, Munich, DE;
Dorin Comaniciu, Princeton Junction, NJ (US);
Siemens Healthcare GmbH, Erlangen, DE;
Abstract
A computer-implemented method for identifying features in 3D image volumes includes dividing a 3D volume into a plurality of 2D slices and applying a pre-trained 2D multi-channel global convolutional network (MC-GCN) to the plurality of 2D slices until convergence. Following convergence of the 2D MC-GCN, a plurality of parameters are extracted from a first feature encoder network in the 2D MC-GCN. The plurality of parameters are transferred to a second feature encoder network in a 3D Anisotropic Hybrid Network (AH-Net). The 3D AH-Net is applied to the 3D volume to yield a probability map;. Then, using the probability map, one or more of (a) coordinates of the objects with non-maximum suppression or (b) a label map of objects of interest in the 3D volume are generated.