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- W4229780683 abstract "Although a wide variety of Computer-Aided Diagnosis (CADx) schemes have been proposed across breast imaging modalities, and especially in mammography, research is still ongoing to meet the high performance CADx requirements. In this chapter, methodological contributions to CADx in mammography and adjunct breast imaging modalities are reviewed, as they play a major role in early detection, diagnosis and clinical management of breast cancer. At first, basic terms and definitions are provided. Then, emphasis is given to lesion content derivation, both anatomical and functional, considering only quantitative image features of micro-calcification clusters and masses across modalities. Additionally, two CADx application examples are provided. The first example investigates the effect of segmentation accuracy on micro-calcification cluster morphology derivation in X-ray mammography. The second one demonstrates the efficiency of texture analysis in quantification of enhancement kinetics, related to vascular heterogeneity, for mass classification in dynamic contrast-enhanced magnetic resonance imaging." @default.
- W4229780683 created "2022-05-11" @default.
- W4229780683 creator A5023540625 @default.
- W4229780683 date "2010-01-01" @default.
- W4229780683 modified "2023-09-27" @default.
- W4229780683 title "CADx Mammography" @default.
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- W4229780683 doi "https://doi.org/10.1007/978-3-642-15816-2_13" @default.
- W4229780683 hasPublicationYear "2010" @default.
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