2D Analysis of FSE Prostate images using Principal Component Analysis Hybrid Neural Network

Neural networks are split into 2 main categories; namely supervised & unsupervised In supervised learning the neural network is pravided with the desired response for a particular example. The unsupervised neural network does not require the desired response but determines itself what properties exist and learns to reflect these properties in its output. This has successfully been used for segmentation of brain tissues using different weighted MR images (5).