Three-dimensional medical image recognition of cancer of the liver by a revised radial basis function (RBF) neural network algorithm

Artificial Life and Robotics

Volumn 14, Issue 2, 2009, Pages 118-122

  Nakagawa, Masahiro ^a   Kondo, Tadashi ^a   Kudo, Tsuyosi ^a   Takao, Shoichiro ^a   Ueno, Junji ^a  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

Medical image recognition; Neural network; Radial basis function

Indexed keywords

HEPATOCELLULAR CARCINOMA; LIVER CANCERS; LIVER REGIONS; MEDICAL IMAGE RECOGNITION; MULTILAYERED NEURAL NETWORKS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK;

ALGORITHMS; ATTITUDE CONTROL; COMPUTER AIDED DIAGNOSIS; IMAGE RECOGNITION; LIVER; RADIAL BASIS FUNCTION NETWORKS; THREE DIMENSIONAL;

NEURAL NETWORKS;

EID: 72449120460     PISSN: 14335298     EISSN: 16147456     Source Type: Journal    
DOI: 10.1007/s10015-009-0640-y     Document Type: Article

References (3)

1. Kudo T, Kondo T, Matsuki T, et al (2007) Recognition of 3-dimensional medical images of the head by radial basis function (RBF) neural network. Proceedings of the 39th ISCIE International Symposium on Stochastic System Theory and its Applications, pp 201-206
2. Draper NR, Smith H (1981) Applied regression analysis. Wiley, New York
3. N. Kodama T. Shimada T. Kaeriyama, et al. 2003 Application of textural features to the objective diagnosis of Alzheimer-type dementia (in Japanese) Med Imag Technol 21 41 48 (Pubitemid 36198707)