3D Computer-Aided Detection for Digital Breast Tomosynthesis: Comparison with 2D Computer-Aided Detection for Digital Mammography in the Detection of Calcifications
نویسندگان
چکیده
منابع مشابه
Reproducibility of Computer-Aided Detection Marks in Digital Mammography
OBJECTIVE To evaluate the performance and reproducibility of a computeraided detection (CAD) system in mediolateral oblique (MLO) digital mammograms taken serially, without release of breast compression. MATERIALS AND METHODS A CAD system was applied preoperatively to the fullfield digital mammograms of two MLO views taken without release of breast compression in 82 patients (age range: 33-83...
متن کاملAnalysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis.
With IRB approval, digital breast tomosynthesis (DBT) images of human subjects were collected using a GE GEN2 DBT prototype system. Corresponding digital mammograms (DMs) of the same subjects were collected retrospectively from patient files. The data set contained a total of 237 views of DBT and equal number of DM views from 120 human subjects, each included 163 views with microcalcification c...
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 ...
متن کاملDetection of breast cancer with full-field digital mammography and computer-aided detection.
OBJECTIVE The purpose of this study was to evaluate computer-aided detection (CAD) performance with full-field digital mammography (FFDM). MATERIALS AND METHODS CAD (Second Look, version 7.2) was used to evaluate 123 cases of breast cancer detected with FFDM (Senographe DS). Retrospectively, CAD sensitivity was assessed using breast density, mammographic presentation, histopathology results, ...
متن کاملComputer Aided Detection in Mammography
Breast cancer is a major health concern being responsible for the second most number of deaths caused by cancer in women. Early detection is therefore crucial to help reduce the number of deaths. At the moment, mammography is the best tool available to screen for early breast cancer. However, the detection of lesions in mammograms is a difficult procedure due to several factors the most promine...
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ژورنال
عنوان ژورنال: Journal of the Korean Society of Radiology
سال: 2017
ISSN: 1738-2637,2288-2928
DOI: 10.3348/jksr.2017.77.2.105