Multi-parametric MRI-based radiomics signature for
 discriminating between clinically significant and insignificant prostate cancer:
 Cross-validation of a machine learning method

He Ma

doi:10.1016/j.ejrad.2019.03.010

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method

He Ma

Department of Entrepreneurship, Marketing and Management Systems

Research output: Journal Publication › Article

128 Citations (Scopus)

Original language	English
Pages (from-to)	16 - 21
Journal	European Journal of Radiology
Volume	115
DOIs	https://doi.org/10.1016/j.ejrad.2019.03.010
Publication status	Published - Jun 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1016/j.ejrad.2019.03.010

Cite this

@article{79b4574de0884626a97ccc2fcc52dd95,

title = "Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method",

author = "He Ma",

year = "2019",

month = jun,

doi = "10.1016/j.ejrad.2019.03.010",

language = "English",

volume = "115",

pages = "16 -- 21",

journal = "European Journal of Radiology",

issn = "0720-048X",

publisher = "Elsevier Ireland Ltd",

}

TY - JOUR

T1 - Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method

AU - Ma, He

PY - 2019/6

Y1 - 2019/6

U2 - 10.1016/j.ejrad.2019.03.010

DO - 10.1016/j.ejrad.2019.03.010

M3 - Article

SN - 0720-048X

VL - 115

SP - 16

EP - 21

JO - European Journal of Radiology

JF - European Journal of Radiology

ER -