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Full-Text Articles in Engineering
Performance Analysis Of Feature Selection Techniques For Support Vector Machine And Its Application For Lung Nodule Detection, Barath Narayanan, Russell C. Hardie, Temesguen Messay Kebede
Performance Analysis Of Feature Selection Techniques For Support Vector Machine And Its Application For Lung Nodule Detection, Barath Narayanan, Russell C. Hardie, Temesguen Messay Kebede
Electrical and Computer Engineering Faculty Publications
Lung cancer typically exhibits its presence with the formation of pulmonary nodules. Computer Aided Detection (CAD) of such nodules in CT scans would be of valuable help in lung cancer screening. Typical CAD system is comprised of a candidate detector and a feature-based classifier. In this research, we study and explore the performance of Support Vector Machine (SVM) based on a large set of features. We study the performance of SVM as a function of the number of features. Our results indicate that SVM is more robust and computationally faster with a large set of features and less prone to …
Performance Analysis Of A Computer-Aided Detection System For Lung Nodules In Ct At Different Slice Thicknesses, Barath Narayanan, Russell C. Hardie, Temesguen Messay Kebede
Performance Analysis Of A Computer-Aided Detection System For Lung Nodules In Ct At Different Slice Thicknesses, Barath Narayanan, Russell C. Hardie, Temesguen Messay Kebede
Electrical and Computer Engineering Faculty Publications
We study the performance of a computer-aided detection (CAD) system for lung nodules in computed tomography (CT) as a function of slice thickness. In addition, we propose and compare three different training methodologies for utilizing nonhomogeneous thickness training data (i.e., composed of cases with different slice thicknesses). These methods are (1) aggregate training using the entire suite of data at their native thickness, (2) homogeneous subset training that uses only the subset of training data that matches each testing case, and (3) resampling all training and testing cases to a common thickness. We believe this study has important implications for …
Super-Resolution In The Presence Of Atmospheric Optical Turbulence, Russell C. Hardie, Michael A. Rucci, Barry K. Karch, Alex J. Dapore, Douglas R. Droege
Super-Resolution In The Presence Of Atmospheric Optical Turbulence, Russell C. Hardie, Michael A. Rucci, Barry K. Karch, Alex J. Dapore, Douglas R. Droege
Electrical and Computer Engineering Faculty Publications
The design of imaging systems involves navigating a complex trade space. As a result, many imaging systems employ focal plane arrays with a detector pitch that is insufficient to meet the Nyquist sampling criterion under diffraction-limited imaging conditions. This undersampling may result in aliasing artifacts and prevent the imaging system from achieving the full resolution afforded by the optics. Another potential source of image degradation, especially for long-range imaging, is atmospheric optical turbulence. Optical turbulence gives rise to spatially and temporally varying image blur and warping from fluctuations in the index of refraction along with optical path. Under heavy turbulence, …