A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study.
Lucidarme
Olivier
O
La Pitié Salpétrière Hospital, APHP, UPMC, Paris, France. olivier.lucidarme@psl.aphp.fr
Akakpo
Jean-Paul
JP
Granberg
Seth
S
Sideri
Mario
M
Levavi
Hanoch
H
Schneider
Achim
A
Autier
Philippe
P
Nir
Dror
D
Bleiberg
Harry
H
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001185:Artificial Intelligence; D005060:Europe; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008875:Middle Aged; D010051:Ovarian Neoplasms / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D012986:Software Validation; D018608:Ultrasonography, Doppler / Q000379:methods*; D055815:Young Adult