Patent · US Active

Automatic detection of lesions in medical images using 2D and 3D deep learning networks

US11776128B2 · kind B2 · utility

2Cited by

1References

18Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Youngjin Yoo · Princeton, US
Pascal Ceccaldi · New York, US
Eli Gibson · Plainsboro, US

Key dates

Filing date	Dec 11, 2020
Grant date	Oct 3, 2023
Priority date	—
Expiry date	Jun 3, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30096
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods for automatic segmentation of lesions from a 3D input medical image are provided. A 3D input medical image depicting one or more lesions is received. The one or more lesions are segmented from one or more 2D slices extracted from the 3D input medical image using a trained 2D segmentation network. 2D features are extracted from results of the segmentation of the one or more lesions from the one or more 2D slices. The one or more lesions are segmented from a 3D patch extracted from the 3D input medical image using a trained 3D segmentation network. 3D features are extracted from results of the segmentation of the one or more lesions from the 3D patch. The extracted 2D features and the extracted 3D features are fused to generate final segmentation results. The final segmentation results are output.

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