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A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study.
- Lucidarme, Olivier (author)
- Akakpo, Jean-Paul (author)
-
- Granberg, Seth (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för obstetrik och gynekologi,Institute of Clinical Sciences, Department of Obstetrics and Gynecology
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- Sideri, Mario (author)
- Levavi, Hanoch (author)
- Schneider, Achim (author)
- Autier, Philippe (author)
- Nir, Dror (author)
- Bleiberg, Harry (author)
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- (creator_code:org_t)
- 2010-03-20
- 2010
- English.
- In: European radiology. - : Springer Science and Business Media LLC. - 1432-1084 .- 0938-7994. ; 20:8, s. 1822-30
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- To prospectively assess an innovative computer-aided diagnostic technology that quantifies characteristic features of backscattered ultrasound and theoretically allows transvaginal sonography (TVS) to discriminate benign from malignant adnexal masses.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Reproduktionsmedicin och gynekologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Obstetrics, Gynaecology and Reproductive Medicine (hsv//eng)
Keyword
- 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
Publication and Content Type
- ref (subject category)
- art (subject category)
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- Levavi, Hanoch
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- Autier, Philippe
- Nir, Dror
- Bleiberg, Harry
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- MEDICAL AND HEALTH SCIENCES
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- University of Gothenburg
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