TY - GEN
T1 - Rank M-type radial basis functions network for medical image processing applications
AU - Moreno-Escobar, José A.
AU - Gallegos-Funes, Francisco J.
AU - Ponomaryov, Volodymyr I.
PY - 2007
Y1 - 2007
N2 - In this paper we present the capability of the Rank M-Type Radial Basis Function (RMRBF) Neural Network in medical image processing applications. The proposed neural network uses the proposed RM-estimators in the scheme of radial basis function to train the neural network. The RMRBF-based training is less biased by the presence of outliers in the training set and was proved an accurate estimation of the implied probabilities. Other RBF based algorithms were compared with our approach in pdf estimation on the microcalcification detection in mammographic image analysis. From simulation results we observe that the RMRBF gives better estimation of the implied pdfs and has show better classification capabilities.
AB - In this paper we present the capability of the Rank M-Type Radial Basis Function (RMRBF) Neural Network in medical image processing applications. The proposed neural network uses the proposed RM-estimators in the scheme of radial basis function to train the neural network. The RMRBF-based training is less biased by the presence of outliers in the training set and was proved an accurate estimation of the implied probabilities. Other RBF based algorithms were compared with our approach in pdf estimation on the microcalcification detection in mammographic image analysis. From simulation results we observe that the RMRBF gives better estimation of the implied pdfs and has show better classification capabilities.
KW - Neural network
KW - Radial basis function
KW - Rank M-type estimator
UR - http://www.scopus.com/inward/record.url?scp=34548215148&partnerID=8YFLogxK
U2 - 10.1117/12.699250
DO - 10.1117/12.699250
M3 - Contribución a la conferencia
AN - SCOPUS:34548215148
SN - 0819466107
SN - 9780819466105
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
T2 - Image Processing: Algorithms and Systems V
Y2 - 29 January 2007 through 30 January 2007
ER -