Invention Grant
- Patent Title: Neural network for neurodegenerative disease classification
-
Application No.: US16238696Application Date: 2019-01-03
-
Publication No.: US10769785B2Publication Date: 2020-09-08
- Inventor: Rachid Fahmi , Sven Zuehlsdorff , Ludovic Sibille
- Applicant: Siemens Medical Solutions USA, Inc.
- Applicant Address: US PA Malvern
- Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee: Siemens Medical Solutions USA, Inc.
- Current Assignee Address: US PA Malvern
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11

Abstract:
A method for configuring a neural network comprises: accessing a plurality of three-dimensional (3D) emission image data sets collected by an emission scanner from respective brains of respective subjects; transforming each of the plurality of 3D emission image data sets to a respective two-dimensional (2D) image; cropping portions of each respective 2D image to remove image data corresponding to tissue outside of a striatum of each of the respective brains, to form respective cropped 2D striatum images; and training a neural network to detect a presence of a Parkinsonian syndrome using the cropped 2D striatum images.
Public/Granted literature
- US20200090326A1 Neural Network for Neurodegenerative Disease Classification Public/Granted day:2020-03-19
Information query