Literature DB >> 22255488

An automated method for hemorrhage detection in traumatic pelvic injuries.

Pavani Davuluri1, Jie Wu, Kevin R Ward, Charles H Cockrell, Kayvan Najarian, Rosalyn S Hobson.   

Abstract

Hemorrhage is the main cause of deaths that occurs within first 24 hours after a traumatic pelvic injury. Therefore, it is very important to determine hemorrhage quickly. Hemorrhages are detected using a CT scan. However, it is very time consuming for physicians to look for hemorrhage in all CT slices. Therefore, an automated system is needed. This paper proposes an automated hemorrhage detection technique by incorporating anatomical information of pelvic region. The results showed method performs comparably to manual methods. A statistical test is conducted to see if the volume of hemorrhage detected using this technique is significantly different from the volume assessed manually.

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Year:  2011        PMID: 22255488     DOI: 10.1109/IEMBS.2011.6091265

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Simplified Convolutional Neural Network Application for Cervix Type Classification via Colposcopic Images.

Authors:  Vitalii Pavlov; Stanislav Fyodorov; Sergey Zavjalov; Tatiana Pervunina; Igor Govorov; Eduard Komlichenko; Viktor Deynega; Veronika Artemenko
Journal:  Bioengineering (Basel)       Date:  2022-05-30

Review 2.  Biomedical informatics for computer-aided decision support systems: a survey.

Authors:  Ashwin Belle; Mark A Kon; Kayvan Najarian
Journal:  ScientificWorldJournal       Date:  2013-02-04

3.  Hemorrhage detection and segmentation in traumatic pelvic injuries.

Authors:  Pavani Davuluri; Jie Wu; Yang Tang; Charles H Cockrell; Kevin R Ward; Kayvan Najarian; Rosalyn H Hargraves
Journal:  Comput Math Methods Med       Date:  2012-07-19       Impact factor: 2.238

  3 in total

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