… of mammograms generated in widespread screening. Indeed… that the use of Computer Aided
Detection (CAD) systems can … mammograms showing performance comparable to different …

… cancer screening, we compare the performance of deep learning computer-aided diagnosis
… Learned weights obtained during pretraining were applied to the network in this study, and …

… The recall rate of mammogram screening is around 11% with … system that helps improve
radiologist performance. At around … The codes used in this study were made publicly available. …

… (CAD) tools for breast cancer screening in clinical practices [5… might hinder the performance
of deep learning networks [13]. … full-field digital mammography dataset, which can be used …

… to classify the localized lesions to compare their performance … a detector with the 2-paths
of detection of a full mammogram … to obtain a successful computer-aided detection model to …

… breast cancer in mammogram screening images using an “end-… performance on breast
cancer detection and classification. … for the identification of lesions in breast in the full-field digital …

… FFDM, with a solid-state detector of amorphous selenium, the pixel size … used to evaluate
the performance of the proposed diagnosis system. Note that the INbreast dataset is only used …

… applied over each region. Same preprocessing strategy is used for all mammograms that
used … detection performance of the YOLO detector. Examples of the qualitative breast lesion …

… In particular, full-field digital mammography (DM), which has … to improve the efficiency of
mammography-based screening by … This may be because our study used pure screening data …

… In the USA, population-based screening programs are not used and single reading (SR)
is … Another limitation is the small number of studies using full-field digital mammography. In …