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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Bibliographic Details
Main Authors:	Golatta, Michael (Author) , Zeegers, Désirée (Author) , Filippatos, Konstantinos (Author) , Binder, Leah-Larissa (Author) , Scharf, Alexander (Author) , Rauch, Geraldine (Author) , Rom, Joachim (Author) , Schütz, Florian (Author) , Sohn, Christof (Author) , Heil, Jörg (Author)
Format:	Article (Journal)
Language:	English
Published:	28 May 2016
In:	Archives of gynecology and obstetrics Year: 2016, Volume: 294, Issue: 2, Pages: 423-428
ISSN:	1432-0711
DOI:	10.1007/s00404-016-4127-5
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00404-016-4127-5
Author Notes:	Michael Golatta, Désirée Zeegers, Konstantinos Filippatos, Leah-Larissa Binder, Alexander Scharf, Geraldine Rauch, Joachim Rom, Florian Schütz, Christof Sohn, Joerg Heil

Description
Summary:	This study aims at developing and evaluating a prototype of a lesion candidate detection algorithm for a 3D-US computer-aided diagnosis (CAD) system.
Item Description:	Gesehen am 30.06.2020
Physical Description:	Online Resource
ISSN:	1432-0711
DOI:	10.1007/s00404-016-4127-5