TY - GEN
T1 - Discrimination of liver diseases from CT images based on Gabor filters
AU - Lee, Chien Cheng
AU - Chen, Sz Han
AU - Tsai, Hong Ming
AU - Chung, Pau Choo
AU - Chiang, Yu Chun
PY - 2006
Y1 - 2006
N2 - In this paper, a liver disease diagnosis based on Gabor filters is proposed. Three kinds of liver diseases are identified: cyst, hepatoma and cavernous hemangioma. The diagnosis scheme includes two steps: features extraction and classification. The features derived from Gabor filters are obtained from the ROIs among the normal and abnormal CT images. In the classification step the SVM classifier is used to discriminate the different liver disease types. Finally the receiver operating characteristic curve is employed to evaluate the performance of the diagnosis system. The effectiveness of the proposed method is demonstrated through experimental results on CT images including 76 liver cysts, 30 hepatomas, and 40 cavernous hemangiomas. From the results, we can observe that the discrimination rate of cyst is higher than the other diseases, and the classification accuracy decreases slightly between cavernous hemangiomas and hepatomas. However, a normal region can be discriminated from all of these diseases entirely.
AB - In this paper, a liver disease diagnosis based on Gabor filters is proposed. Three kinds of liver diseases are identified: cyst, hepatoma and cavernous hemangioma. The diagnosis scheme includes two steps: features extraction and classification. The features derived from Gabor filters are obtained from the ROIs among the normal and abnormal CT images. In the classification step the SVM classifier is used to discriminate the different liver disease types. Finally the receiver operating characteristic curve is employed to evaluate the performance of the diagnosis system. The effectiveness of the proposed method is demonstrated through experimental results on CT images including 76 liver cysts, 30 hepatomas, and 40 cavernous hemangiomas. From the results, we can observe that the discrimination rate of cyst is higher than the other diseases, and the classification accuracy decreases slightly between cavernous hemangiomas and hepatomas. However, a normal region can be discriminated from all of these diseases entirely.
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U2 - 10.1109/CBMS.2006.77
DO - 10.1109/CBMS.2006.77
M3 - Conference contribution
AN - SCOPUS:33845578768
SN - 0769525172
SN - 9780769525174
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 203
EP - 206
BT - Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
T2 - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Y2 - 22 June 2006 through 23 June 2006
ER -