@inproceedings{8594b3967da14ac8bc028487de61d63a,
title = "Neural network diagnosis of avascular necrosis from magnetic resonance images",
abstract = "We have explored the use of artificial neural networks to diagnose avascular necrosis (AVN) of the femoral head from magnetic resonance images. We have developed multi-layer perceptron networks, trained with conjugate gradient optimization, which diagnose AVN from single sagittal images of the femoral head with 100% accuracy on the training data and 97% accuracy on test data. These networks use only the raw image as input (with minimal preprocessing to average the images down to 32 × 32 size and to scale the input data values) and learn to extract their own features for the diagnosis decision. Various experiments with these networks are described.",
author = "Armando Manduca and Christy, {Paul S.} and Ehman, {Richard L.}",
year = "1993",
language = "English (US)",
isbn = "0819411310",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Publ by Society of Photo-Optical Instrumentation Engineers",
pages = "598--603",
editor = "Loew, {Murray H.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Medical Imaging 1993: Image Processing ; Conference date: 14-02-1992 Through 19-02-1992",
}