Invention Grant
- Patent Title: Method and system for anatomical object detection using marginal space deep neural networks
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Application No.: US14709536Application Date: 2015-05-12
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Publication No.: US09668699B2Publication Date: 2017-06-06
- Inventor: Bogdan Georgescu , Yefeng Zheng , Hien Nguyen , Vivek Kumar Singh , Dorin Comaniciu , David Liu
- Applicant: SIEMENS HEALTHCARE GMBH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: A61B5/00
- IPC: A61B5/00 ; G06T7/00 ; G06K9/46 ; G06K9/62 ; G06T7/73 ; G06T7/77 ; A61B6/00 ; A61B8/08 ; A61B8/00 ; A61B5/055

Abstract:
A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective deep neural network is trained for each of the marginal search spaces, resulting in a series of trained deep neural networks. Each of the trained deep neural networks can evaluate hypotheses in a current parameter space using discriminative classification or a regression function. An anatomical object is detected in a medical image by sequentially applying the series of trained deep neural networks to the medical image.
Public/Granted literature
- US20150238148A1 METHOD AND SYSTEM FOR ANATOMICAL OBJECT DETECTION USING MARGINAL SPACE DEEP NEURAL NETWORKS Public/Granted day:2015-08-27
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