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Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator.
Khazendar, S; Sayasneh, A; Al-Assam, H; Du, H; Kaijser, J; Ferrara, L; Timmerman, D; Jassim, S; Bourne, T.
Afiliação
  • Khazendar S; Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, U.K.
  • Sayasneh A; Department of Cancer and Surgery, Queen Charlotte's and Chelsea Hospital, Imperial College, London, W12 0HS, U.K.
  • Al-Assam H; Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, U.K.
  • Du H; Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, U.K.
  • Kaijser J; KU Leuven Department of Development and Regeneration; Obstetrics and Gynaecology, University Hospitals KU Leuven, Leuven, Belgium.
  • Ferrara L; Queen Charlotte's and Chelsea Hospital, Imperial College, London, W12 0HS, U.K.
  • Timmerman D; KU Leuven Department of Development and Regeneration; Obstetrics and Gynaecology, University Hospitals KU Leuven, Leuven, Belgium.
  • Jassim S; Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, U.K.
  • Bourne T; Department of Cancer and Surgery, Queen Charlotte's and Chelsea Hospital, Imperial College, London, W12 0HS, U.K. ; KU Leuven Department of Development and Regeneration; Obstetrics and Gynaecology, University Hospitals KU Leuven, Leuven, Belgium. ; Queen Charlotte's and Chelsea Hospital, Imperial Co
Facts Views Vis Obgyn ; 7(1): 7-15, 2015.
Article em En | MEDLINE | ID: mdl-25897367
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: Facts Views Vis Obgyn Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: Facts Views Vis Obgyn Ano de publicação: 2015 Tipo de documento: Article