Detection of an invisible needle in ultrasound using a probabilistic SVM and time-domain features.

Beigi, Parmida; Rohling, Robert; Salcudean, Tim; Lessoway, Victoria A; Ng, Gary C

Beigi, Parmida; Rohling, Robert; Salcudean, Tim; Lessoway, Victoria A; Ng, Gary C.

Afiliação

Beigi P; Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada. Electronic address: parmidab@ece.ubc.ca.
Rohling R; Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada; Mechanical Engineering Department, University of British Columbia, Vancouver, BC, Canada.
Salcudean T; Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada.
Lessoway VA; Department of Ultrasound, B.C. Women's Hospital, Vancouver, BC, Canada.
Ng GC; Philips Ultrasound, Bothell, WA, USA.

Ultrasonics ; 78: 18-22, 2017 07.

Article em En | MEDLINE | ID: mdl-28279882

Palavras-chave

Machine learning; Motion detection; Needle detection; Ultrasound

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Ultrasonics Ano de publicação: 2017 Tipo de documento: Article

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