This paper presents an ontology-based annotation system and BI-RADS (Breast Imaging Reporting and Data System) score reasoning with Semantic Web technologies in mammography. The annotation system is based on the Mammography Annotation Ontology (MAO) where the BI-RADS score reasoning works. However, ontologies are based on crisp logic and they cannot handle uncertainty. Consequently, we propose ...

PURPOSE To determine the effect of implementing a screening tomosynthesis program on real-world clinical performance by quantifying differences between interpretation times for conventional screening mammography and combined tomosynthesis and mammography for multiple participating radiologists with a wide range of experience in a large academic center. MATERIALS AND METHODS In this HIPAA-comp...

While screening mammography is recognized as the most effective method for early detection of breast cancer, this modality has limitations that are the driving force behind efforts to refine existing mammography technologies and develop new ones offering improved detection of breast cancer. Full-field digital mammography (FFDM) systems use digital detectors to convert x-ray photons to digital s...

Abstract Background Proper assessment of mammographically detected asymmetries is essential to avoid unnecessary biopsies and missed cancers as they may be a benign or malignant cause. According ACR BIRADS atlas 2013, are classified into asymmetry, focal global developing asymmetry. We aimed assess the diagnostic performance artificial intelligence in compared breast ultrasound well combined ma...