Patent · US Active

Deep convolutional encoder-decoder for prostate cancer detection and classification

US10489908B2 · kind B2 · utility

5Cited by

1References

14Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Atilla Peter Kiraly · Plainsboro, US
Clement Jad Abi Nader · Antibes, FR
Robert Grimm · Nuremberg, DE
Berthold Kiefer · Erlangen, DE
Ali Kamen · Skillman, US

Key dates

Filing date	Dec 5, 2017
Grant date	Nov 26, 2019
Priority date	—
Expiry date	Jun 14, 2038

Classification

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

Abstract

A method and apparatus for automated prostate tumor detection and classification in multi-parametric magnetic resonance imaging (MRI) is disclosed. A multi-parametric MRI image set of a patient, including a plurality of different types of MRI images, is received. Simultaneous detection and classification of prostate tumors in the multi-parametric MRI image set of the patient are performed using a trained multi-channel image-to-image convolutional encoder-decoder that inputs multiple MRI images of the multi-parametric MRI image set of the patient and includes a plurality of output channels corresponding to a plurality of different tumor classes. For each output channel, the trained image-to image convolutional encoder-decoder generates a respective response map that provides detected locations of prostate tumors of the corresponding tumor class in the multi-parametric MRI image set of the patient.

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