Ara
Toplam kayıt 6, listelenen: 1-6
Automated computer-aided diagnosis of splenic lesions due to abdominal trauma
(Lithographia, 2019)
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 ...
Automated segmentation of the injured spleen
(Springer, 2016)
Purpose: To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not ...
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 ...
A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans
(Springer, 2017)
Computer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In ...
Automated segmentation of the injured kidney due to abdominal trauma
(Springer, 2020)
The objective of this study is to propose and validate a computer-aided segmentation system which performs the automated segmentation of injured kidney in the presence of contusion, peri-, intra-, sub-capsular hematoma, ...
A New Practical Intracerebral Hematoma Volume Calculation Method and Comparison to simple ABC/2
(Turkish Neurosurgical Soc., 2020)
AIM: To find a more practical and effective formula than simple ABC/2 (sABC/2) to calculate the hematoma volume in patients with subdural and parenchymal haemorrhage. MATERIAL and METHODS: We reviewed the records of 157 ...