Invention Grant
US09119573B2 Stent marker detection using a learning based classifier in medical imaging
有权
在医学成像中使用基于学习的分类器进行支架标记检测
- Patent Title: Stent marker detection using a learning based classifier in medical imaging
- Patent Title (中): 在医学成像中使用基于学习的分类器进行支架标记检测
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Application No.: US12960635Application Date: 2010-12-06
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Publication No.: US09119573B2Publication Date: 2015-09-01
- Inventor: Xiaoguang Lu , Terrence Chen , Thomas Pohl , Peter Durlak , Dorin Comaniciu
- Applicant: Xiaoguang Lu , Terrence Chen , Thomas Pohl , Peter Durlak , Dorin Comaniciu
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellschaft
- Current Assignee: Siemens Aktiengesellschaft
- Current Assignee Address: DE Munich
- Main IPC: A61B6/12
- IPC: A61B6/12 ; A61B6/00

Abstract:
Stent marker detection is automatically performed. Stent markers in fluoroscopic images or other markers in other types of imaging are detected using a machine-learnt classifier. Hierarchal classification may be used, such as detecting individual markers with one classifier and then detecting groups of markers (e.g., a pair) with a joint classifier. The detection may be performed in a single image and without user indication of a location.
Public/Granted literature
- US20110144480A1 STENT MARKER DETECTION USING A LEARNING BASED CLASSIFIER IN MEDICAL IMAGING Public/Granted day:2011-06-16
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