Patent · US Active

System and method for automatic thoracic organ segmentation from CT using a deep learning framework

US11030747B1 · kind B1 · utility

7Cited by

0References

13Claims

0Family size

Inventors

Xue Feng · Lexington, US
Quan Chen · Madison, US

Key dates

Filing date	Mar 4, 2020
Grant date	Jun 8, 2021
Priority date	—
Expiry date	Mar 4, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2211/424
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

The present disclosure relates to a method and apparatus for automatic thoracic organ segmentation. The method includes: receiving three-dimensional (3D) images obtained by a computed tomography (CT) system; processing the 3D images to have the same spatial resolution and matrix size; building a two-stage deep learning framework using convolutional neural networks (CNNs) for organ segmentation; adapting the deep learning framework to be compatible with incomplete training data; improving the CNNs upon arrival of new training data; post-processing the output from the deep learning framework to obtain final organ segmentation.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.