Title :
Neural detectors for medical signal processing
Author :
Muthuswamy, Nirmala ; Blum, Rick S.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
Abstract :
The detection of random signals using neural networks is studied. In comparison with some classical techniques, neural networks provide better performance for the cases studied. The neural network based detector (neural detector) is a backpropagation neural network with 3 layers which are typically referred to as the input, the hidden and the output layers
Keywords :
Gaussian noise; backpropagation; medical signal processing; multilayer perceptrons; signal detection; backpropagation neural network; hidden layers; input layers; medical signal processing; neural detectors; output layers; random signal detection; Additive noise; Biomedical signal processing; Detectors; Gaussian noise; Magnetic resonance imaging; Medical signal detection; Neural networks; Noise level; Testing; Transfer functions;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
DOI :
10.1109/RCEMBS.1995.533015
