TY - GEN
T1 - Texture based characterization of liver tumor on computed tomography images
AU - Lakshmana, B.
AU - Arakeri, M. P.
PY - 2011
Y1 - 2011
N2 - Computed tomography (CT) images have been widely used for liver disease diagnosis. The CT images have been used for the analysis as these images are more clear compared to other imaging techniques. This paper focuses on developing method for classifying liver tumor from CT images using texture analysis and neural network classifier. The Co-occurrence matrices are used to extract feature like contrast, correlation, entropy, homogeneity, energy. Then the probabilistic neural network is trained to classify liver tumors as malignant and benign. The proposed system was evaluated by several liver images. It produces accuracy of 93.75%. The performance of the proposed system is also evaluated by calculating specificity, sensitivity.
AB - Computed tomography (CT) images have been widely used for liver disease diagnosis. The CT images have been used for the analysis as these images are more clear compared to other imaging techniques. This paper focuses on developing method for classifying liver tumor from CT images using texture analysis and neural network classifier. The Co-occurrence matrices are used to extract feature like contrast, correlation, entropy, homogeneity, energy. Then the probabilistic neural network is trained to classify liver tumors as malignant and benign. The proposed system was evaluated by several liver images. It produces accuracy of 93.75%. The performance of the proposed system is also evaluated by calculating specificity, sensitivity.
UR - https://www.scopus.com/pages/publications/79958743712
UR - https://www.scopus.com/pages/publications/79958743712#tab=citedBy
U2 - 10.1145/1980022.1980052
DO - 10.1145/1980022.1980052
M3 - Conference contribution
AN - SCOPUS:79958743712
SN - 9781450304498
T3 - International Conference and Workshop on Emerging Trends in Technology 2011, ICWET 2011 - Conference Proceedings
SP - 141
EP - 144
BT - International Conference and Workshop on Emerging Trends in Technology 2011, ICWET 2011 - Conference Proceedings
T2 - International Conference and Workshop on Emerging Trends in Technology 2011, ICWET 2011
Y2 - 25 February 2011 through 26 February 2011
ER -