Radiomic-based diagnostics in oncology: challenges toward clinical practice
Oncoscience
.
2021 Jun 2:8:72-73.
doi: 10.18632/oncoscience.536.
eCollection 2021.
Authors
Emanuele Barabino
1
,
Giovanni Rossi
2
3
,
Alessandro Fedeli
4
,
Giuseppe Cittadini
5
,
Carlo Genova
6
7
Affiliations
1
Interventional Angiography, Ospedale Santa Corona - ASL 2 Savonese, Pietra Ligure, Italy.
2
Medical Oncology Department, Ospedale Padre Antero Micone, Genova, Italy.
3
Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
4
Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa, Genova, Italy.
5
UO Radiologia Generale, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
6
UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
7
Dipartimento di Medicina Interna e Specialità Mediche (DiMI), Facoltà di Medicina e Chirurgia, Università degli Studi di Genova, Genova, Italy.
PMID:
34095348
PMCID:
PMC8174115
DOI:
10.18632/oncoscience.536
No abstract available
Keywords:
artificial intelligence; lung cancer; machine learning; oncology; radiomics.