Detection of clustered microcalcifications using spatial point process modeling
نویسندگان
چکیده
منابع مشابه
Computer aided detection system for clustered microcalcifications :
We have developed a computer-aided detection (CAD) system to detect clustered microcalcification automatically on full-field digital mammograms (FFDMs) and a CAD system for screen-film mammograms (SFMs). The two systems used the same computer vision algorithms but their false positive (FP) classifiers were trained separately with sample images of each modality. In this study, we compared the pe...
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In this paper, we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm consists of the combination of two different methods. The first, based on difference-image techniques and gaussianity statistical tests, finds out the most obvious signals. The second, is able to discover more subtle m...
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A new shape recognition-based neural network built with universal feature planes, called Shape Cognitron (S-Cognitron) is introduced to classify clustered microcalcifications. The architecture of S-Cognitron consists of two modules and an extra layer, called 3D figure layer lies in between. The first module contains a shape orientation layer, built with 20 cell planes of low level universal sha...
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We have reported previously [10,6] two algorithms for detecting microcalcifications that operate either on Highnam and Brady’s [3] hint representation or the latter’s presentation as an image: SMF = Standardised Mammogram Form. We introduce a third such method that applies to SMF a model of human foveal image processing. Comparative analysis with [10,6] shows significantly enhanced results for ...
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ژورنال
عنوان ژورنال: Physics in Medicine and Biology
سال: 2010
ISSN: 0031-9155,1361-6560
DOI: 10.1088/0031-9155/56/1/001