Computer-aided detection system for masses in automated whole breast ultrasonography: development and evaluation of the effectiveness

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Computer-aided detection system for masses in automated whole breast ultrasonography: development and evaluation of the effectiveness

PURPOSE The aim of this study was to evaluate the performance of a proposed computer-aided detection (CAD) system in automated breast ultrasonography (ABUS). METHODS Eighty-nine two-dimensional images (20 cysts, 42 benign lesions, and 27 malignant lesions) were obtained from 47 patients who underwent ABUS (ACUSON S2000). After boundary detection and removal, we detected mass candidates by usi...

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Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography.

False positive (FP) marks represent an obstacle for effective use of computer-aided detection (CADe) of breast masses in mammography. Typically, the problem can be approached either by developing more discriminative features or by employing different classifier designs. In this paper, the usage of support vector machine (SVM) classification for FP reduction in CADe is investigated, presenting a...

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Computer aided diagnosis for breast masses detection on a telemammography system.

A Computer-Aided Diagnosis (CAD) scheme for breast masses detection has been developed and integrated as a part of a telemammography system. This work derives from the close cooperation between the Laboratory for Radiologic Image Research of the University of Santiago de Compostela (Spain) and the company Intelsis Sistemas Inteligentes (Santiago de Compostela, Spain). This cooperation has been ...

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ژورنال

عنوان ژورنال: Ultrasonography

سال: 2014

ISSN: 2288-5919,2288-5943

DOI: 10.14366/usg.13023