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:
Jun. 08, 2021
Filed:
May. 30, 2019
Merck Sharp & Dohme Corp., Rahway, NJ (US);
Msd International Gmbh, Singapore, SG;
Antong Chen, Blue Bell, PA (US);
Dongqing Zhang, Nashville, TN (US);
Ilknur Icke, Attleboro, MA (US);
Belma Dogdas, Ridgewood, NJ (US);
Sarayu Parimal, Singapore, SG;
Merck Sharp & Dohme Corp., Rahway, NJ (US);
MSD International GmbH, Singapore, KR;
Abstract
Approaches for the automatic segmentation of magnetic resonance (MR) images. Machine learning models segment images to identify image features in consecutive frames at different levels of resolution. A neural network block is applied to groups of MR images to produce primary feature maps at two or more levels of resolution. The images in a given group of MR images may correspond to a cycle and have a temporal order. A second RNN block is applied to the primary feature maps to produce two or more output tensors at corresponding levels of resolution. A segmentation block is applied to the two or more output tensors to produce a probability map for the MR images. The first neural network block may be a convolutional neural network (CNN) block. The second neural network block may be a convolutional long short-term (LSTM) block.