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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2
A Multi-Window Approach to Classify Histological Features
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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Ringo W.K. Lam, Horace H.S. Ip, Kent K.T. Cheung, Lilian H.Y. Tang, R. Hanka, "A Multi-Window Approach to Classify Histological Features," Pattern Recognition, International Conference on, vol. 2, pp. 2259, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.906062,
author = {Ringo W.K. Lam and Horace H.S. Ip and Kent K.T. Cheung and Lilian H.Y. Tang and R. Hanka},
title = {A Multi-Window Approach to Classify Histological Features},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2000},
isbn = {0-7695-0750-6},
pages = {2259},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906062},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Multi-Window Approach to Classify Histological Features
SN - 0-7695-0750-6
SP
EP
A1 - Ringo W.K. Lam,
A1 - Horace H.S. Ip,
A1 - Kent K.T. Cheung,
A1 - Lilian H.Y. Tang,
A1 - R. Hanka,
PY - 2000
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Ringo W.K. Lam, City University of Hong Kong
Horace H.S. Ip, City University of Hong Kong
Kent K.T. Cheung, City University of Hong Kong
Lilian H.Y. Tang, University of Cambridge
R. Hanka, University of Cambridge
Medical images are usually composed of different kinds of texture components, which are always so much varied, that a conventional single window approach cannot capture enough salient information for comparison. This paper uses the widely used multi-channel Gabor filters to demonstrate how a multi-window approach can improve the classification accuracy rate of histological labels. In addition, a Most Confident Window method will be proposed to further increase the accuracy rate of the multi-window approach.
Citation:
Ringo W.K. Lam, Horace H.S. Ip, Kent K.T. Cheung, Lilian H.Y. Tang, R. Hanka, "A Multi-Window Approach to Classify Histological Features," icpr, vol. 2, pp.2259, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000
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