- 3.3Impact Factor
- 6.7CiteScore
- 16 daysTime to First Decision
Journal of Imaging, Volume 8, Issue 10
October 2022 - 39 articles
Cover Story: Radiomics extracts quantitative image features to identify biomarkers for characterizing disease. We used radiomic features extracted from magnetic resonance imaging of the liver and spleen to assess cirrhosis by comparing features from patients with cirrhosis to those without cirrhosis and how this is impacted by liver disease severity using two different metrics (laboratory score and clinical status). We found that combined liver and spleen radiomic features generated an AUC of 0.94 for detecting cirrhosis even after stratification by liver disease severity, with shape and texture components performing better than size features. These findings will inform radiomic-based applications for cirrhosis diagnosis and severity. View this paper
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Articles
There are no articles in this issue yet.
Get Alerted
Add your email address to receive forthcoming issues of this journal.
J. Imaging - ISSN 2313-433XCreative Common CC BY license