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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 ...
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 ...
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, ...