Editorial: Radiomics and radiogenomics in genitourinary oncology: artificial intelligence and deep learning applications

Alessandro Stefano; Elena Bertelli; Albert Comelli; Marco Gatti; Arnaldo Stanzione

doi:10.3389/fradi.2023.1325594

Editorial: Radiomics and radiogenomics in genitourinary oncology: artificial intelligence and deep learning applications

Front Radiol. 2023 Dec 18:3:1325594. doi: 10.3389/fradi.2023.1325594. eCollection 2023.

Authors

Alessandro Stefano¹, Elena Bertelli², Albert Comelli³, Marco Gatti⁴, Arnaldo Stanzione⁵

Affiliations

¹ Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Cefalù, Italy.
² Department of Radiology, Careggi University Hospital, Florence, Italy.
³ Ri.MED Foundation, Palermo, Italy.
⁴ Department of Surgical Sciences, University of Turin, Turin, Italy.
⁵ Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.

No abstract available

Keywords: artificial intelligence; computer-aided design system; genitourinary oncology; prostate cancer; radiogenomics; radiomics; renal cell carcinoma; testicular imaging.

Publication types

Editorial