Radiomic Machine Learning: Is It Really a Useful Method for the Characterization of Prostate Cancer?

Radiology. 2019 Apr;291(1):269-270. doi: 10.1148/radiol.2019182940. Epub 2019 Mar 5.

Authors

Michele Scialpi¹, Francesco Bianconi², Vito Cantisani³, Barbara Palumbo⁴

Affiliations

¹ Section of Diagnostic Imaging, Department of Surgical and Biomedical Sciences, Santa Maria della Misericordia Hospital, University of Perugia, S. Andrea delle Fratte, 06156 Perugia, Italy.
² Departments of Engineering † and.
³ Department of Radiology, Oncology, and Anatomy Pathology, Policlinico Umberto I, University Sapienza, Rome, Italy ‡.
⁴ Surgical and Biomedical Sciences, § University of Perugia, Perugia, Italy.

PMID: 30835185
DOI: 10.1148/radiol.2019182940

No abstract available

Publication types

Letter
Comment

MeSH terms

Humans
Machine Learning*
Magnetic Resonance Imaging
Male
Prostatic Neoplasms*