This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Digital Health Reviews (1289) Decision Support for Health Professionals (1185) Machine Learning (1465) Imaging Informatics (193) Clinical Information and Decision Making (1407) Innovations and Technology in Cancer Care (423) Prostate Cancer (26)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22394, first published .
Radiomic and Genomic Machine Learning Method Performance for Prostate Cancer Diagnosis: Systematic Literature Review

Radiomic and Genomic Machine Learning Method Performance for Prostate Cancer Diagnosis: Systematic Literature Review

Radiomic and Genomic Machine Learning Method Performance for Prostate Cancer Diagnosis: Systematic Literature Review

Authors of this article:

Rossana Castaldo1 Author Orcid Image ;   Carlo Cavaliere1 Author Orcid Image ;   Andrea Soricelli1 Author Orcid Image ;   Marco Salvatore1 Author Orcid Image ;   Leandro Pecchia2 Author Orcid Image ;   Monica Franzese1 Author Orcid Image
Article Authors Cited by (27) Tweetations (14) Metrics

Rossana Castaldo   1 , PhD ;   Carlo Cavaliere   1 , PhD ;   Andrea Soricelli   1 , PhD ;   Marco Salvatore   1 , PhD ;   Leandro Pecchia   2 * , PhD ;   Monica Franzese   1 * , PhD

1 IRCCS SDN, Naples, Italy

2 University of Warwick, Coventry, United Kingdom

*these authors contributed equally

Corresponding Author: