Application of fuzzy neural networks to medical image processing

The author proposes the use of fuzzy neural networks to improve the resolution and segmentation of medical images. The backpropagation neural network is used to obtain an optimized membership function. The algorithms are presented to implement the fuzzy neural networks for both types of applications. Preliminary results are given. The advantage of using fuzzy neural networks compared with conventional neural networks is to reduce the number of elements in each neural network layer. Thus computation time can be reduced. Only tomographic images are considered.<>