Invention Grant
- Patent Title: Method and system for landmark detection in medical images using deep neural networks
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Application No.: US15564036Application Date: 2015-05-11
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Publication No.: US10467495B2Publication Date: 2019-11-05
- Inventor: David Liu , Bogdan Georgescu , Yefeng Zheng , Hien Nguyen , Shaohua Kevin Zhou , Vivek Kumar Singh , Dorin Comaniciu
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- International Application: PCT/US2015/030084 WO 20150511
- International Announcement: WO2016/182551 WO 20161117
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06K9/62 ; G06T7/00 ; A61B8/08

Abstract:
A method and system for anatomical landmark detection in medical images using deep neural networks is disclosed. For each of a plurality of image patches centered at a respective one of a plurality of voxels in the medical image, a subset of voxels within the image patch is input to a trained deep neural network based on a predetermined sampling pattern. A location of a target landmark in the medical image is detected using the trained deep neural network based on the subset of voxels input to the trained deep neural network from each of the plurality of image patches.
Public/Granted literature
- US20180089530A1 METHOD AND SYSTEM FOR LANDMARK DETECTION IN MEDICAL IMAGES USING DEEP NEURAL NETWORKS Public/Granted day:2018-03-29
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