Overview of biomedical applications of neural networks

Biomedical applications of neural networks are reviewed. Early applications are briefly mentioned. Applications published in the period 1991 - 1994 provide the main focus for a selected bibliography of over 100 references appearing in the paper. References are organized according to medical discipline. Emergent patterns and trends, and predictions for future developments, are briefly discussed.

[1]  W. Gan.  Application of neural networks to the processing of medical images , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[2]  Constantinos S. Pattichis,et al.  Neural networks: in search of computer-aided diagnosis , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

[3]  L. Tarassenko,et al.  Analysis of the sleep EEG using a multilayer network with spatial organisation , 1992 .

[4]  James C. Bezdek,et al.  A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain , 1992, IEEE Trans. Neural Networks.

[5]  Atam P. Dhawan,et al.  Artificial-neural-network-based classification of mammographic microcalcifications using image structure features , 1993, Electronic Imaging.

[6]  Andy Adler,et al.  Image reconstruction in electrical impedance tomography: a neural network approach , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[7]  P. S. Maclin,et al.  A neural network to diagnose liver cancer , 1993, IEEE International Conference on Neural Networks.

[8]  L. Moreno,et al.  A system for automated brain signal analysis: application to brain maturation study , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[9]  D Caramella,et al.  Neural network segmentation of magnetic resonance spin echo images of the brain. , 1993, Journal of biomedical engineering.

[10]  Jacob Beutel,et al.  Application of neural networks to computer-aided pathology detection in mammography , 1993, Medical Imaging.

[11]  Seung Hong Hong,et al.  Probabilistic-neural pattern classifier and the muscle force estimation , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[12]  Takeo Ishigaki,et al.  Classification of breast tumors in mammograms using a neural network: utilization of selected features , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[13]  Edward L. Keller,et al.  A spatio-temporal neural network model of saccade generation , 1993, IEEE International Conference on Neural Networks.

[14]  R. E. Gander,et al.  MES classification using artificial neural networks and chaos theory , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[15]  R. Linder,et al.  Neural network approach for computer-assisted interpretation of ultrasound images of the gallbladder. , 1993, European journal of radiology.

[16]  Jim Austin,et al.  Chromosome location and feature extraction using neural networks , 1993, Image Vis. Comput..

[17]  María Teresa Arredondo,et al.  Use of unsupervised neural networks for classification of blood pressure time series , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[18]  Dejan B. Popovic,et al.  Learning of EMG-patterns by adaptive logic networks , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[19]  Madan M. Gupta,et al.  A generic neural model based on excitatory-inhibitory neural population , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[20]  N. Botros,et al.  Microcomputer-based in-vivo liver differentiation using artificial neural networks , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[21]  Gert Pfurtscheller,et al.  Neural network based classification of single-trial EEG data , 1993, Artif. Intell. Medicine.

[22]  Ela Claridge,et al.  Towards a neural network based system for skin cancer diagnosis , 1993 .

[23]  M. Kawato,et al.  Inverse dynamics model in the cerebellum , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[24]  Kwee Hiong Lee.  The difference method: a way of detecting abnormalities in MRI images , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[25]  Hideo Tanaka,et al.  Learning from incomplete training data with missing values and medical application , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[26]  Benoit M. Dawant,et al.  Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study , 1993, IEEE Trans. Medical Imaging.

[27]  Philip H. Goodman,et al.  Neural networks significantly improve cancer staging accuracy , 1994, Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS).

[28]  Yoichi Hayashi,et al.  Neural expert system using fuzzy teaching input and its application to medical diagnosis , 1994 .

[29]  Nurgun Erdol,et al.  The use of wavelet transform as a preprocessor for the neural network detection of EEG spikes , 1994, Proceedings of SOUTHEASTCON '94.

[30]  L.K. Hansen,et al.  Modeling of glaucoma induced changes in the retina and neural net assisted diagnosis , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[31]  V. Lazarescu,et al.  A quantitative study of evoked potential estimation using a feedforward neural network , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[32]  Georg Dorffner,et al.  On using feedforward neural networks for clinical diagnostic tasks , 1994, Artif. Intell. Medicine.

[33]  Xiaohui Liu,et al.  Identifying the measurement noise in glaucomatous testing: an artificial neural network approach , 1994, Artif. Intell. Medicine.

[34]  K. Horch,et al.  Classification of action potentials in multi-unit intrafascicular recordings using neural network pattern-recognition techniques , 1994, IEEE Transactions on Biomedical Engineering.

[35]  T Alvager,et al.  The use of artificial neural networks in biomedical technologies: an introduction. , 1994, Biomedical instrumentation & technology.

[36]  David Hestenes,et al.  Invariant body kinematics: I. Saccadic and compensatory eye movements , 1994, Neural Networks.

[37]  C. Svarer,et al.  Neural estimation of kinetic rate constants from dynamic PET-scans , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[38]  S. A. Mylonas,et al.  EEG: signal analysis using a multi-layer perceptron with linear preprocessing , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[39]  Michael Recce,et al.  A model of hippocampal function , 1994, Neural Networks.

[40]  Z. Szabo,et al.  Analysis of dynamic positron emission tomography images using a neural network , 1994 .

[41]  G.-P.K. Economou,et al.  Medical diagnosis and artificial neural networks: a medical expert system applied to pulmonary diseases , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[42]  Nikolaos K. Uzunoglu,et al.  A network of physiological neurons with differentiated excitatory and inhibitory units possessing pattern recognition capacity , 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

[43]  Kuniharu Arai,et al.  Two-dimensional neural network model of the primate saccadic system , 1994, Neural Networks.

[44]  M. Korurek,et al.  Myoelectric neural networks signal analysis , 1994, Proceedings of MELECON '94. Mediterranean Electrotechnical Conference.

[45]  Kevin W. Bowyer,et al.  Generating ROC curves for artificial neural networks , 1994, IEEE Transactions on Medical Imaging.