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

Medicine

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