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dc.contributor.authorVassallo, Pierre-
dc.identifier.citationVassallo, P. (2015). Detecting breast cancer : advanced and new technologies. The Synapse, 14(5), 30-31en_GB
dc.description.abstractBreast cancer is the most common cancer in women. This has consequently generated considerable interest in the literature with the result that Breast Cancer Screening Programs have become available in most developed countries. The aim of these screening programs is to achieve early detection of breast cancer in women who have not yet developed any symptoms. Such early detection allows early treatment, which is necessary to achieve a good treatment outcome. Treatment of early cancer results in cure in 98% of cases, while late cancer detection results in a poor outcome. Early breast cancer detection depends on the accuracy of the equipment used and on training and experience of the specialists involved. Equipment accuracy and consequently image quality play a very important role since specialist training and experience cannot compensate for poor image quality. New technologies are contributing to improved image quality and also to new parameters that help distinguish benign from malignant disease.en_GB
dc.publisherMedical Portals Ltd.en_GB
dc.subjectBreast -- Cancer -- Diagnosisen_GB
dc.subjectBreast -- Cancer -- Imagingen_GB
dc.subjectDiagnostic imaging -- Methodsen_GB
dc.subjectBreast -- Cancer -- Preventionen_GB
dc.titleDetecting breast cancer : advanced and new technologiesen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
Appears in Collections:The Synapse, Volume 14, Issue 5
The Synapse, Volume 14, Issue 5

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