Titlebook: Breast Imaging; 13th International W Anders Tingberg,Kristina Lång,Pontus Timberg Conference proceedings 2016 Springer International Publis

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书目名称Breast Imaging影响因子(影响力)




书目名称Breast Imaging影响因子(影响力)学科排名




书目名称Breast Imaging网络公开度




书目名称Breast Imaging网络公开度学科排名




书目名称Breast Imaging被引频次




书目名称Breast Imaging被引频次学科排名




书目名称Breast Imaging年度引用




书目名称Breast Imaging年度引用学科排名




书目名称Breast Imaging读者反馈




书目名称Breast Imaging读者反馈学科排名

Allege

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networcquired on mammography systems from three manufactures: Hologic, GE, and Siemens. Receiver operating characteristics analysis was carried out. Over the whole specificity range, the CNN approach yielded a higher sensitivity compared to the cascade classifier. Significantly higher mean sensitivities w

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极大痛苦

Introduction to Construct Measurement,e been performed on a GE Senoclaire, two Hologic Selenia Dimensions and two Siemens Mammomat Inspiration units. In addition to the physics tests, we have remotely collected 15 months of daily QC data on the GE unit and 2 and 3 months on the Hologic units.

让你明白

Behavior Control (in R&D Organizations),cquired on mammography systems from three manufactures: Hologic, GE, and Siemens. Receiver operating characteristics analysis was carried out. Over the whole specificity range, the CNN approach yielded a higher sensitivity compared to the cascade classifier. Significantly higher mean sensitivities w

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外观

Accounting Control (in R&D Organizations),4 %. Statistically significant differences were observed in sensitivity for control (median = 0.85) vs 15 % (median = 0.65, z = -2.381, . = 0.017), 15 % vs 10 % (median = 0.55, z = -2.428, . = 0.015) and control vs 10 % (z = -2.381, . = 0.017). ROC AUC was significantly different for control (median

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暂时过来

Behavior Control (in R&D Organizations),cs before and after applying LUT-QNE. Performance was also tested as a preprocessing step in two microcalcification detection schemes. Results show that the proposed method statistically significantly improves microcalcification detection performance.