Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2008.205.209PoonguzhaliS. RavindranG. 1200871In this study, the ultrasound liver images are studied
to build a computer-aided automatic early detection system for the identification
of cysts, tumors and cancers by analyzing their unique echo texture patterns
using a custom designed back propagation neural network classifier. The
texture features are extracted using various statistical and spectral
methods. Then the optimal feature selection process is carried out manually
to select the best discriminating features from the extracted texture
parameters. Then the neural network has been designed and the optimal
neural network parameters have been selected to increase the classifier
performance.]]>Ahmadian, A., A. Mostafa, M.D. Abolhassani and N.R. Alam,20042004pp: 971974Haykin, S.,20012nd Edn.,Laws, K.L.,19801980pp: 376380Lee, W.L., Y.C. Chen and K.S. Hsieh,200322382392Mougiakakou, S. Gr., I. Valavanis, K.S. Nikita, A. Nikita and D. Kelekis,2003212871290Poonguzhali, S. and G. Ravindran,20062006pp: 47914794Poonguzhali, S., B. Deepalakshmi and G. Ravindran,20072007pp: 503506Raeth, U., D. Schlaps, B. Limberg, I. Zuna and A. Lorenz et al.,1985138799Sherlock, S. and J. Dooley,19939th Edn.,Sujana, H., S. Swarnamani and S. Suresh,19962211771181Tuceyran, M. and A.K. Jain,19932235276Wells, P.N.T.,19821st Edn.,Wu, C.M., Y.C. Chen and K.S. Hsieh,199211142152Yoshida, H., D.D. Casalino, B. Keserci, A. Coskun, O. Ozturk and A. Savranlar,20034837353753