Stent marker detection using a learning based classifier in medical imaging

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...

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Hauptverfasser:	POHL THOMAS, DURLAK PETER, LU XIAOGUANG, CHEN TERRENCE, COMANICIU DORIN
Format:	Patent
Sprache:	eng
Schlagworte:	DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY
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creator	POHL THOMAS DURLAK PETER LU XIAOGUANG CHEN TERRENCE COMANICIU DORIN
description	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.
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subjects	DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY
title	Stent marker detection using a learning based classifier in medical imaging
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