Invention Grant
- Patent Title: Vascular segmentation using fully convolutional and recurrent neural networks
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Application No.: US15795629Application Date: 2017-10-27
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Publication No.: US10762637B2Publication Date: 2020-09-01
- Inventor: Mehmet Akif Gulsun , Yefeng Zheng , Puneet Sharma , Vivek Kumar Singh , Tiziano Passerini
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06T7/174
- IPC: G06T7/174 ; G06T7/00 ; G06N3/04 ; G06T7/11

Abstract:
Systems and methods are provided for automatic segmentation of a vessel. A sequence of image slices containing a vessel is acquired. Features maps are generated for each of the image slices using a trained fully convolutional neural network. A trained bi-directional recurrent neural network generates a segmented image based on the feature maps.
Public/Granted literature
- US20190130578A1 VASCULAR SEGMENTATION USING FULLY CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS Public/Granted day:2019-05-02
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