Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Radiomics to support precision medicine in oncology

Academic Article
Publication Date:
2019
abstract:
Precision health, the future of patient care, is dependent on artificial intelligence. Of the information contained in a digital medical image, visual analysis can only extract about 10%. Radiomics aims to extract an enormous wealth of quantitative data from biomedical images, which could not be processed through simple visual analysis, but is capable of providing more information on the underlying pathophysiological phenomena and biological processes within human body. The subsequent mining of these quantitative data can offer very useful information on the aggressiveness of the disease under investigation, opening at the tailoring of the therapies based on a patient's needs and at the monitoring of the response to care. Therefore, by using specific mathematical algorithms and artificial intelligence techniques, radiomics provides very powerful support for precision medicine, especially in oncology.
Iris type:
01.01 Articolo in rivista
Keywords:
Radiomics; Decision Support; Precision medicine
List of contributors:
Germanese, Danila; Colantonio, Sara; Barucci, Andrea
Authors of the University:
BARUCCI ANDREA
COLANTONIO SARA
GERMANESE DANILA
Handle:
https://iris.cnr.it/handle/20.500.14243/420600
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/420600/137389/prod_447430-doc_161477.pdf
Published in:
ERCIM NEWS
Journal
  • Overview

Overview

URL

https://ercim-news.ercim.eu/en118/special/radiomics-to-support-precision-medicine-in-oncology
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)