https://ciis.lcsr.jhu.edu/ 2026-06-07T21:45:04+00:00 https://ciis.lcsr.jhu.edu/ https://ciis.lcsr.jhu.edu/lib/exe/fetch.php?media=wiki:dokuwiki.svg text/html 2021-05-06T22:06:02+00:00 Anonymous (anonymous@undisclosed.example.com) https://ciis.lcsr.jhu.edu/doku.php?id=courses:456:2021:projects:456-2021-09:project-09&rev=1620338762&do=diff Predicting Hemorrhage Related Outcomes with CT Volumetry for Traumatic Hemothorax Last updated: May 6, 2021 Summary We are developing an automated method of quantifying blood volume from CT scans of patients with hemothoraces (accumulation of blood in the pleural sac surrounding the lungs). To do this, deep segmentation networks are used to extract hemothorax pixels from each image slice to ultimately sum the segmented voxels.