Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries
Joint Authors
Davuluri, Pavani
Ward, Kevin R.
Najarian, Kayvan
Wu, Jie
Cockrell, Charles H.
Tang, Yang
Hargraves, Rosalyn Hobson
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for fast and accurate treatment decision making.
Hemorrhage is the main cause of deaths in patients within first 24 hours after the injury.
It is very time consuming for physicians to analyze all Computed Tomography (CT) images manually.
As time is crucial in emergence medicine, analyzing medical images manually delays the decision-making process.
Automated hemorrhage detection and segmentation can significantly help physicians to analyze these images and make fast and accurate decisions.
Hemorrhage segmentation is a crucial step in the accurate diagnosis and treatment decision-making process.
This paper presents a novel rule-based hemorrhage segmentation technique that utilizes pelvic anatomical information to segment hemorrhage accurately.
An evaluation measure is used to quantify the accuracy of hemorrhage segmentation.
The results show that the proposed method is able to segment hemorrhage very well, and the results are promising.
American Psychological Association (APA)
Davuluri, Pavani& Wu, Jie& Tang, Yang& Cockrell, Charles H.& Ward, Kevin R.& Najarian, Kayvan…[et al.]. 2012. Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-506470
Modern Language Association (MLA)
Davuluri, Pavani…[et al.]. Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-506470
American Medical Association (AMA)
Davuluri, Pavani& Wu, Jie& Tang, Yang& Cockrell, Charles H.& Ward, Kevin R.& Najarian, Kayvan…[et al.]. Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-506470
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506470