Article ID Journal Published Year Pages File Type
8822433 The Egyptian Journal of Radiology and Nuclear Medicine 2016 12 Pages PDF
Abstract
The suggested algorithm was tested for DDSM, MIAS and local database and showed high level of overall accuracy (98.68%) and sensitivity (80.15%).
Keywords
Related Topics
Health Sciences Medicine and Dentistry Radiology and Imaging
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ANN and Adaboost application for automatic detection of microcalcifications in breast cancer
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