Title :
A Gabor filter-based classification for diffuse lung opacities in thin-section computed tomography images
Author :
Mitani, Y. ; Hirayama, H. ; Yasuda, H. ; Kido, S. ; Hamamoto, Y. ; Ueda, K. ; Matsunaga, N.
Author_Institution :
Yamaguchi Junior Coll., Hofu, Japan
Abstract :
The classification of diffuse lung opacities in thin-section computed tomography (HRCT) images is an important step of developing a computer-aided diagnosis (CAD) system. We have evaluated the performance of a Gabor filter-based classification of typical diffuse lung opacities in HRCT images. The experimental results show that the Gabor filter-based approach is an effective means of classifying diffuse lung diseases
Keywords :
computerised tomography; filtering theory; image classification; lung; medical diagnostic computing; Gabor filter-based classification; computer-aided diagnosis; diffuse lung opacities; thin-section computed tomography images; Biomedical imaging; Computed tomography; Design automation; Diseases; Educational institutions; Filtering theory; Gabor filters; Image sampling; Lungs; Pixel;
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
DOI :
10.1109/KES.2000.884162
