Stent marker detection using a learning based classifier in medical imaging

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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
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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Beschreibung
Zusammenfassung: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.