Segmentation of arteries in minimally invasive surgery using change detection

IEICE Transactions on Information and Systems

Volumn E92-D, Issue 3, 2009, Pages 498-505

  Akbari, Hamed ^a   Kosugi, Yukio ^a   Kojima, Kazuyuki ^b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b TOKYO MEDICAL AND DENTAL UNIVERSITY   (Japan)

Author keywords

Artery segmentation; Change detection; Laparoscopy; Learning Vector Quantization; Minimally invasive surgery

Indexed keywords

BLOOD VESSELS; EDGE DETECTION; LAPAROSCOPY; SURGERY; SURGICAL EQUIPMENT; VISUAL COMMUNICATION;

ARTERY SEGMENTATIONS; CHANGE DETECTION; FALSE POSITIVE RATES; LAPAROSCOPIC SURGERY; LEARNING VECTOR QUANTIZATION; MINIMALLY INVASIVE SURGERY; PERFORMANCE EVALUATION CRITERIA; REGISTRATION METHODS;

VECTOR QUANTIZATION;

EID: 77950320493     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E92.D.498     Document Type: Article

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