Breast Cancer: Computer-aided Detection with Digital Breast Tomosynthesis
نویسندگان
چکیده
منابع مشابه
Improving Reading Time of Digital Breast Tomosynthesis with Concurrent Computer Aided Detection
PowerLook® Tomo Detection, a concurrent computer-aided detection (CAD) system for digital breast tomosynthesis (DBT) developed by iCAD, Inc., Nashua, NH, was tested to determine if the software can shorten the reading time of DBT without affecting radiologist interpretation or performance. The results of this study showed a 29.2% average reduction in reading time (up to 36.5% reduction) with th...
متن کاملThree-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis
We propose computer-aided detection (CADe) algorithm for microcalcification (MC) clusters in reconstructed digital breast tomosynthesis (DBT) images. The algorithm consists of prescreening, MC detection, clustering, and false-positive (FP) reduction steps. The DBT images containing the MC-like objects were enhanced by a multiscale Hessian-based three-dimensional (3D) objectness response functio...
متن کاملComputer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.
PURPOSE To design a computer-aided detection (CADe) system for clustered microcalcifications in reconstructed digital breast tomosynthesis (DBT) volumes and to perform a preliminary evaluation of the CADe system. METHODS IRB approval and informed consent were obtained in this study. A data set of two-view DBT of 72 breasts containing microcalcification clusters was collected from 72 subjects ...
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The purpose of the study was to design a computer-aided detection (CAD) system for breast mass detection on digital breast tomosynthesis (DBT) mammograms and to perform a preliminary evaluation of the performance of this system. Twenty-six patients were imaged with a prototype DBT system. Institutional review board approval and written informed patient consent were obtained. Use of the data set...
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ژورنال
عنوان ژورنال: Radiology
سال: 2015
ISSN: 0033-8419,1527-1315
DOI: 10.1148/radiol.2015141959