Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods.

Saved in:
Bibliographic Details
Title: Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods.
Authors: Casale R; Department of Radiology, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium., Varriano G; Department of Medicine and Health Sciences Vincenzo Tiberio, University of Molise, Campobasso, Italy., Santone A; Department of Medicine and Health Sciences Vincenzo Tiberio, University of Molise, Campobasso, Italy., Messina C; IRCCS Galeazzi Orthopedic Institute, Milan, Italy., Casale C; Allergology Service, Dermatology Unit, Azienda Ospedaliera Universitaria di Modena, Modena, Italy., Gitto S; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy., Sconfienza LM; Department of Biomedical Sciences for Health, University of Milan, Milan, Italy., Bali MA; Department of Radiology, Institut Jules Bordet-Université Libre de Bruxelles (ULB), Brussels, Belgium., Brunese L; Department of Medicine and Health Sciences Vincenzo Tiberio, University of Molise, Campobasso, Italy.
Source: JAMIA open [JAMIA Open] 2023 Apr 12; Vol. 6 (2), pp. ooad025. Date of Electronic Publication: 2023 Apr 12 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooad025