MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses — a review

Yin, X.-X., Hadjiloucas, S. ORCID: https://orcid.org/0000-0003-2380-6114, Zhang, Y. and Tian, Z. (2022) MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses — a review. Computer methods and programs in biomedicine, 214. 106510. ISSN 1872-7565 doi: 10.1016/j.cmpb.2021.106510

Abstract/Summary

This paper aims to overview multidimensional mining algorithms in relation to Magnetic Resonance Imaging (MRI) radiogenomics for computer aided detection and diagnosis of breast tumours. The work also aims to address a new problem in radiogenomics mining: how to combine structural radiomics information with non-structural genomics information for improving the accuracy and efficacy of Neoadjuvant Chemotherapy (NAC).

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/101276
Identification Number/DOI	10.1016/j.cmpb.2021.106510
Refereed	Yes
Divisions	Interdisciplinary centres and themes > Reading Systems Biology Network (RSBN) Life Sciences > School of Biological Sciences > Biomedical Sciences Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher	Elsevier
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