Abstract:
The classification of diffuse lung opacities in thin-section computed tomography (HRCT) images is very fundamental for developing a computer-aided diagnosis (CAD) system....Show MoreMetadata
Abstract:
The classification of diffuse lung opacities in thin-section computed tomography (HRCT) images is very fundamental for developing a computer-aided diagnosis (CAD) system. However, in designing such a CAD system, the number of the available samples is usually small. This leads to the difficulties of designing the CAD system. One way to overcome this problem is to generate artificial images from available real images by image rotation and reversal. In this paper, we discuss the use of artificial images for designing the CAD system.
Published in: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
Date of Conference: 26-26 August 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2128-2
Print ISSN: 1051-4651
Contents 