TY - GEN
T1 - Telemedicine system of pathology image using the Internet
AU - Suzuki, Ayako
AU - Tanaka, Toshiyuki
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.
AB - In this study, tumor images are classified into 4 groups according to the symptom automatically in order to construct the telemedicine system of pathology image using the Internet. As this method, we use the texture analysis for obtaining parameters and the discriminant analysis for the automatic classification. The discriminant analysis based on 5 parameters for 103 tumor images resulted in the correct automatic classification of 81.5%. From the result of this study, it has provided the possibility of the image-based diagnosis of tumor with texture analysis.
KW - Automatic classification
KW - Image processing
KW - Large colon tumor
KW - Texture analysis
UR - http://www.scopus.com/inward/record.url?scp=50249133830&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249133830&partnerID=8YFLogxK
U2 - 10.1109/SICE.2007.4421071
DO - 10.1109/SICE.2007.4421071
M3 - Conference contribution
AN - SCOPUS:50249133830
SN - 4907764286
SN - 9784907764289
T3 - Proceedings of the SICE Annual Conference
SP - 694
EP - 697
BT - SICE Annual Conference, SICE 2007
T2 - SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Y2 - 17 September 2007 through 20 September 2007
ER -