LECANDUS study (LEsion CANdidate Detection in UltraSound Data): evaluation of image analysis algorithms for breast lesion detection in volume ultrasound data

This study aims at developing and evaluating a prototype of a lesion candidate detection algorithm for a 3D-US computer-aided diagnosis (CAD) system.

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Bibliographische Detailangaben
Hauptverfasser: Golatta, Michael (VerfasserIn) , Zeegers, Désirée (VerfasserIn) , Filippatos, Konstantinos (VerfasserIn) , Binder, Leah-Larissa (VerfasserIn) , Scharf, Alexander (VerfasserIn) , Rauch, Geraldine (VerfasserIn) , Rom, Joachim (VerfasserIn) , Schütz, Florian (VerfasserIn) , Sohn, Christof (VerfasserIn) , Heil, Jörg (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 28 May 2016
In: Archives of gynecology and obstetrics
Year: 2016, Jahrgang: 294, Heft: 2, Pages: 423-428
ISSN:1432-0711
DOI:10.1007/s00404-016-4127-5
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00404-016-4127-5
Volltext
Verfasserangaben:Michael Golatta, Désirée Zeegers, Konstantinos Filippatos, Leah-Larissa Binder, Alexander Scharf, Geraldine Rauch, Joachim Rom, Florian Schütz, Christof Sohn, Joerg Heil

MARC

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