Now showing items 1-2 of 2
Automated computer-aided diagnosis of splenic lesions due to abdominal trauma
Background: Computer-aided detection in the setting of trauma presents unique challenges due to variations in shape and attenuation of the injured organs based on the timing and severity of the injury. We developed and ...
Automatic Detection of Pulmonary Embolism in CTA Images Using Machine Learning
(Kaunas Univ. Technology, 2017)
In this study, a novel computer-aided detection (CAD) method is introduced to detect pulmonary embolism (PE) in computed tomography angiography (CTA) images. This method consists of lung vessel segmentation, PE candidate ...