title: Hierarchical object recognition in Pelvic CT Images.
abstract: This paper introduces a hierarchical method of recognizing bone tissue from regions extracted from Pelvic CT Images. The method allows distinguishing among segmented objects with similar grey level values, such as bone tissue and regions of active hemorrhage. The method addresses the challenge of correctly segmenting and classifying bone as well as assessing presence of active hemorrhage.
authors: Department of Computer Science at Virginia Commonwealth University, Richmond, VA 23284-3019, USA. vasilaches@vcu.edu
authors: Simina
authors: S
authors: Vasilache
authors: Wenan
authors: W
authors: Chen
authors: Kevin
authors: K
authors: Ward
authors: Kayvan
authors: K
authors: Najarian
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001842:Bone and Bones / Q000473:pathology; D003196:Computer Graphics; D003952:Diagnostic Imaging / Q000379:methods; D006470:Hemorrhage / Q000175:diagnosis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D015233:Models, Statistical; D016011:Normal Distribution; D010363:Pattern Recognition, Automated / Q000379:methods; D010388:Pelvis / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*