Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate-and high-risk prostate cancer patients

A Losnegård, LAR Reisæter, OJ Halvorsen… - Acta …, 2020 - journals.sagepub.com
Background To investigate whether magnetic resonance (MR) radiomic features combined
with machine learning may aid in predicting extraprostatic extension (EPE) in high-and non …
被引用次数：35 相关文章

Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate-and high-risk prostate cancer patients.

A Losnegård, LAR Reisæter, OJ Halvorsen… - Acta …, 2020 - search.ebscohost.com
Background: To investigate whether magnetic resonance (MR) radiomic features combined
with machine learning may aid in predicting extraprostatic extension (EPE) in high-and non …

Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate-and high-risk prostate cancer patients

A Losnegård, LAR Reisæter… - Acta radiologica …, 2020 - pubmed.ncbi.nlm.nih.gov
Background To investigate whether magnetic resonance (MR) radiomic features combined
with machine learning may aid in predicting extraprostatic extension (EPE) in high-and non …

Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate-and high-risk prostate cancer patients.

A Losnegård, LAR Reisæter, OJ Halvorsen… - Acta Radiologica …, 2020 - europepmc.org
BACKGROUND: To investigate whether magnetic resonance (MR) radiomic features
combined with machine learning may aid in predicting extraprostatic extension (EPE) in high …