Interobserver agreement in assessment of polycystic ovarian morphology using pattern recognition
Ultrasound Obstet Gynecol
.
2016 May;47(5):652-3.
doi: 10.1002/uog.15768.
Epub 2016 Apr 8.
Authors
D Van Schoubroeck
1
,
N Raine-Fenning
2
,
A J F Installé
3
4
,
D De Neubourg
1
,
B De Moor
3
4
,
T Bourne
1
5
,
T Van den Bosch
1
,
D Timmerman
1
Affiliations
1
Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Herestraat 49, 3000 Leuven, Belgium.
2
Division of Child Health, Obstetrics & Gynaecology, University of Nottingham, Nottingham, UK.
3
KU Leuven, Department of Electrical Engineering ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium.
4
iMinds Medical IT, Leuven, Belgium.
5
Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK.
PMID:
26415824
DOI:
10.1002/uog.15768
No abstract available
Publication types
Letter
MeSH terms
Female
Humans
Observer Variation
Pattern Recognition, Visual
Polycystic Ovary Syndrome / diagnostic imaging*
Software
Ultrasonography / standards*