Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis
Joint Authors
Vassiou, Katerina
Fezoulidis, Ioannis
Vamvakas, Alexandros
Tsougos, I.
Kappas, Constantin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Over the years, MR systems have evolved from imaging modalities to advanced computational systems producing a variety of numerical parameters that can be used for the noninvasive preoperative assessment of breast pathology.
Furthermore, the combination with state-of-the-art image analysis methods provides a plethora of quantifiable imaging features, termed radiomics that increases diagnostic accuracy towards individualized therapy planning.
More importantly, radiomics can now be complemented by the emerging deep learning techniques for further process automation and correlation with other clinical data which facilitate the monitoring of treatment response, as well as the prediction of patient’s outcome, by means of unravelling of the complex underlying pathophysiological mechanisms which are reflected in tissue phenotype.
The scope of this review is to provide applications and limitations of radiomics towards the development of clinical decision support systems for breast cancer diagnosis and prognosis.
American Psychological Association (APA)
Tsougos, I.& Vamvakas, Alexandros& Kappas, Constantin& Fezoulidis, Ioannis& Vassiou, Katerina. 2018. Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132153
Modern Language Association (MLA)
Tsougos, I.…[et al.]. Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1132153
American Medical Association (AMA)
Tsougos, I.& Vamvakas, Alexandros& Kappas, Constantin& Fezoulidis, Ioannis& Vassiou, Katerina. Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132153