Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
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Title
Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
Authors
Keywords
Cancer, Ovary, Prognosis, Residual tumour, Disease progression
Journal
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-05-08
DOI
10.1007/s00330-018-5389-z
References
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- (2008) David S.P. Tan et al. JOURNAL OF CLINICAL ONCOLOGY
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