Medical Image Analysis of Brain X-ray CT Images By Deep GMDH-Type Neural Network
Tadashi Kondo, Junji Ueno, Shoichiro Takao · Journal of Robotics Networking and Artificial Life · 2016
The deep Group Method of Data Handling (GMDH)-type neural network is applied to the medical image analysis of brain X-ray CT image.In this algorithm, the deep neural network architectures which have many hidden layers and fit the complexity of the nonlinear systems, are automatically organized using the heuristic self-organization method so as to minimize the prediction error criterion defined as Akaike's Information Criterion (AIC) or Prediction Sum of Squares (PSS).The learning algorithm is the principal component-regression analysis and the accurate and stable predicted values are obtained.The recognition results show that the deep GMDH-type neural network algorithm is useful for the medical image analysis of brain X-ray CT images.