@inproceedings{285652552f2b4e0d87a8a7d189de2881,
title = "Segmentation of multidimensional magnetic resonance (MR) images using a fuzzy neural network",
abstract = "Methods of 3-D visualization of the brain based on fuzzy c-means (FCM) classified magnetic resonance (MR) images and a neural network trained on the FCM data are presented. A 3-D MR scan of a volunteer serves as the basis for the unsupervised classification techniques. The images were first classified into different tissue types by using FCM. The classified images were then reconstructed for 3-D display. Results show that individual tissue types can be discriminated during the 3-D rendering process. A neural network trained on the fuzzy classification data was also implemented. By using the cascade correlation algorithm during the network training, much of the tedious training work was avoided. The preliminary results from the neural network approach are quite encouraging.",
author = "Ma, {Jesse C.} and Rodriguez, {Jeffrey J.}",
year = "1994",
language = "English (US)",
isbn = "0819416223",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Society of Photo-Optical Instrumentation Engineers",
pages = "636--643",
editor = "Tescher, {Andrew G.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Applications of Digital Image Processing XVII ; Conference date: 26-07-1994 Through 29-07-1994",
}