Ara
Toplam kayıt 6, listelenen: 1-6
Colonic polyp classification using projection image and convolutional neural network
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, Computer-aided detection (CAD) systems are used to assist radiologists to detect colonic polyps. In this work, we aimed to develop convolutional neural network based classification system for automated detection ...
Computed aided detection of traumatized kidneys in CT images
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this work, we developed a novel method to diagnose traumatized kidney in the presence of laceration, contusion and active bleeding due to abdominal trauma. Our CAD system performs 94,44% of sensitivity at 0.13 false ...
Assessment of ManSeg 2.6b application's accuracy [ManSeg 2.6b Uygulama Başarisinin De?erlendirilmesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
The present study aims to demonstrate a new fully/semi-automated segmentation tool, ManSeg 2.6b, for calculating the volume of the abdominal organs. In order to validate the accuracy, a phantom study was developed and the ...
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, ...
Detection of Injured Kidney in Computed Tomography
(IEEE, 2017)
Timely and accurate diagnosis of intraabdominal organ injuries due to trauma is critical. Computer Assisted Detection (CAD) systems are rapidly developing techniques to segment the organs or to detect the pathologies in ...