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Feature Extraction and Classification of Neuromuscular Diseases Using Scanning EMG
(IEEE, 2014)
In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum ...
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 ...
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 ...
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 ...
Calculation of Renal, Cortex and Medulla Volumes using Semi Automated Method
(IEEE, 2018)
It is assume that renal volume with cortex and medulla volumes are related with recovery of the kidney after transplantation. In this study it is aim that a semi automated method is developed for renal volumes. Theise ...
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, ...