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14 September 1993 Neural network diagnosis of avascular necrosis from magnetic resonance images
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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 X 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.
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Armando Manduca, Paul S. Christy, and Richard L. Ehman "Neural network diagnosis of avascular necrosis from magnetic resonance images", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993);

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