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Browse Conference Publications > Pattern Recognition, 2004. IC ... Help

Artificial images for classifying diffuse lung opacities in thin-section computed tomography images

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3 Author(s)
Mitani, Y. ; Ube Nat. Coll. of Technol., Japan ; Matsunaga, N. ; Hamamoto, Yoshihiko

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:
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on  (Volume:3 )

Date of Conference: 23-26 Aug. 2004

Page(s):
530 - 533 Vol.3
ISSN :
1051-4651
Print ISBN:
0-7695-2128-2
INSPEC Accession Number:
8380972
Digital Object Identifier :
10.1109/ICPR.2004.1334583
Product Type:
Conference Publications

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