TY - JOUR
T1 - Neural network approach to segmentation of magnetic resonance head images
AU - Oshio, Koichi
AU - Singh, Manbir
PY - 1992/1/1
Y1 - 1992/1/1
N2 - A novel image segmentation scheme based on a neural network has been implemented to segment magnetic resonance head images. A three‐layer perceptron‐type neural network, trained with backward error propagation algorithm was used. The scheme utilizes first‐echo intensity and computed T2 values to construct a two‐parameter space for classification. After training on a selected slice, the method successfully segments all slices for a given subject without any further human interaction.
AB - A novel image segmentation scheme based on a neural network has been implemented to segment magnetic resonance head images. A three‐layer perceptron‐type neural network, trained with backward error propagation algorithm was used. The scheme utilizes first‐echo intensity and computed T2 values to construct a two‐parameter space for classification. After training on a selected slice, the method successfully segments all slices for a given subject without any further human interaction.
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U2 - 10.1002/ima.1850040207
DO - 10.1002/ima.1850040207
M3 - Article
AN - SCOPUS:0026871543
VL - 4
SP - 130
EP - 134
JO - International Journal of Imaging Systems and Technology
JF - International Journal of Imaging Systems and Technology
SN - 0899-9457
IS - 2
ER -