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Titlebook: Digital Mammography; 8th International Wo Susan M. Astley,Michael Brady,Reyer Zwiggelaar Conference proceedings 2006 Springer-Verlag Berlin

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楼主: 摇尾乞怜
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An Alternative Approach to Measuring Volumetric Mammographic Breast Densityurement is discussed, together with alternative measurement scales. Several issues are considered, including the effect of beam quality on normalisation accuracy, and the measurement failure which can occur when clinical data falls outside the limited range defined by 100% adipose to 100% fibroglandular tissue.
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Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcificatio the detection of clusters of micro-calcifications indicate that the proposed method significantly outperforms a state-of-the-art general purpose method for designing classifiers (SVM), in terms of FROC curves on a hold out test set.
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0302-9743 mography (IWDM), which was held in Manchester, UK, June 18–21, 2006. The meetings bringtogetheradiversesetofresearchers(physicists,mathematicians,computer scientists, engineers), clinicians (radiologists, surgeons) and representatives of industry, who are jointly committed to developing technology,
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Dong Yue,Songlin Hu,Zihao Cheng of current practice for the introduction of computer aided detection systems. The paper also investigates the different types of abnormality that arise in older and younger women within the screening age group, and discusses how this is likely to affect prompting systems.
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Dong Yue,Songlin Hu,Zihao Chenghe publicly available USF/DDSM database, experimental results demonstrate that a sensitivity of 94% (resp. 80%) can be achieved at a specificity level of 1.02 (resp. 0.69) false positives per image. Even in dense mammograms, the CAD algorithm can still correctly detect subtle masses.
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