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A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

PaperCitations, authors & open-access status

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 305 citations, 2018 year and hybrid oa status.

305
Citations
2018
Year
hybrid
OA Status

Related on ScholarIQ

Lars J. Grimm
Author
British Journal of Cancer
Journal
Radiomics and Machine Learning in Medical Imaging
Topic
Radiomics and Machine Learning in Medical Imaging
Topic
MRI in cancer diagnosis
Topic
Breast Cancer Treatment Studies
Topic
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