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:
Dec. 12, 2023
Filed:
Mar. 04, 2021
GE Precision Healthcare Llc, Wauwatosa, WI (US);
Tao Tan, Nuenen, NL;
Máté Fejes, Budapest, HU;
Gopal Avinash, San Ramon, CA (US);
Ravi Soni, San Ramon, CA (US);
Bipul Das, Chennai, IN;
Rakesh Mullick, Bangalore, IN;
Pál Tegzes, Budapest, HU;
Lehel Ferenczi, Budapest, HU;
Vikram Melapudi, Bangalore, IN;
Krishna Seetharam Shriram, Bangalore, IN;
GE PRECISION HEALTHCARE LLC, Wauwatosa, WI (US);
Abstract
Methods and systems are provided for inferring thickness and volume of one or more object classes of interest in two-dimensional (2D) medical images, using deep neural networks. In an exemplary embodiment, a thickness of an object class of interest may be inferred by acquiring a 2D medical image, extracting features from the 2D medical image, mapping the features to a segmentation mask for an object class of interest using a first convolutional neural network (CNN), mapping the features to a thickness mask for the object class of interest using a second CNN, wherein the thickness mask indicates a thickness of the object class of interest at each pixel of a plurality of pixels of the 2D medical image; and determining a volume of the object class of interest based on the thickness mask and the segmentation mask.