Titre :
  • A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study.
Auteur : Lucidarme, Olivier ; Akakpo, Jean-Paul ; Granberg, Seth ; Sideri, Mario ; Levavi, Hanoch ; Schneider, Achim ; Autier, Philippe ; Nir, Dror ; Bleiberg, Harry ; Ovarian HistoScanning Clinical Study Group
Informations sur la publication : European radiology, 20, 8, (page 1822-1830)
Statut de publication : Publié, 2010-08
Sujet CREF : Cancérologie
Mots-clés : Ovarian cancer diagnosis
Ovarian HistoScanning
Tissue characterisation
Ultrasound
Mots-clés MeSH : Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Artificial Intelligence
Europe
Female
Humans
Image Enhancement -- methods
Image Interpretation, Computer-Assisted -- methods
Imaging, Three-Dimensional -- methods
Middle Aged
Ovarian Neoplasms -- ultrasonography
Pattern Recognition, Automated -- methods
Reproducibility of Results
Sensitivity and Specificity
Software
Software Validation
Ultrasonography, Doppler -- methods
Young Adult
Note : Evaluation Studies
Journal Article
Multicenter Study
Validation Studies
SCOPUS: ar.j
Langue :
  • Anglais
Identificateurs : urn:issn:0938-7994 
info:doi/10.1007/s00330-010-1750-6
info:pmid/20306081