Utilization of artificial neural networks in the diagnosis of optic nerve diseases

Computers in Biology and Medicine

Volumn 36, Issue 4, 2006, Pages 428-437

  Kara, Sadik ^a,b   Güven, Ayşegül ^a,c   Öner, Ayşe Öztürk ^a,d  

^a ERCIYES UNIVERSITY   (Turkey)

^b Bioelectronics branch of Electronics Engineering   (Turkey)

^c Department of Electronics   (Turkey)

^d Ophthalmology Department   (Turkey)

Author keywords

ANN; Optic nerve disease; PERG

Indexed keywords

BACKPROPAGATION ALGORITHMS; OPTIC NERVE DISEASE;

ALGORITHMS; BACKPROPAGATION; DISEASES; SIGNAL PROCESSING;

NEURAL NETWORKS;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTRORETINOGRAPHY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; OPTIC NERVE DISEASE; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; ALGORITHMS; CASE-CONTROL STUDIES; ELECTRORETINOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OPTIC NERVE DISEASES; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 32644483338     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.01.003     Document Type: Article

References (21)

1. S.V. Sprelckelsen, P. Grumstup, J. Johnsen, L.K. Hansen, Modelling of glaucoma induced changes in the retina and neural net assisted diagnosis, IEEE Workshop on Neural Networks for Signal Processing, 1994, pp. 490-498.
2. J.R. Heckenlively, and G.B. Arden Principles and Practice of Clinical Electrophysiology of Vision 1991 Mosby Year Book United States of America
3. L.L. Lipoth, H.M. Hafez, and R.A. Goubran Elecroretinographical (ERG)-Based Classification of Eye Diseases Annual International Conference of the IEEE Engineering in Medicine and Biology Society 13 3 1991
4. M. Bach, M. Hawlina, G.E. Holder, M. Marmor, T. Meigen, V. Miyake, and Y. Miyake Standard for Pattern Electroretinography International society for clinical electrophysiology of vision-ISCEV, Doc. Ophthalmol. 101 2000 11 18
5. L. Maffei, and A. Fiorentini Electroretinographic responses to alternating gratings before and after sectioning of the optic nerve Science 211 1981 953
6. R. Beale, and T. Jackson Neural Computing An Introduction 1990 Institute of Physics Publishing Bristol, UK
7. S. Haykin Neural Networks A Comprehensive Foundation 1994 Macmillan College Publishing Company Inc. New York
8. I.A. Wright, and N.A.J. Gough Artificial neural network analysis of common femoral artery Doppler shift signals classification of proximal disease Ultras. Med. Biol. 24 5 1999 735 743
9. P.A. Lynn An Introduction to the Analysis and Processing of Signals second ed. 1982 Macmillan London, UK
10. J. Allen, and A. Murray Development of a neural network screening aid for diagnosing lower limb peripheral vascular disease from photoelectric plethysmography pulse waveforms Physiol. Meas. 14 1993 13 22
11. W.G. Baxt Use of an artificial neural network for data analysis in clinical decision making the diagnosis of acute coronary occlusion Neural Comput. 2 1990 480 489
12. W.G. Baxt Application of artificial neural networks to clinical medicine Lancet 346 1995 1135 1138
13. L. Edenbrandt, B. Heden, and O. Pahlm Neural networks for analysis of ECG complexes J. Electrocardiol. 26 1993 66 73
14. J.R. Hilera, V.J. Martinez, and M. Mazo ECG signal processing with neural networks Int. J. Uncert. Fuzzy Knowledge-Based System 3 4 1995 419 430
15. İ. Güler, and E.D. Übeyli Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network Comput. Biol. Med. 33 2003 333 343
16. A.S. Miller, B.H. Blott, and T.K. Harries Review of neural network applications in medical imaging and signal processing Med. Biol. Eng. Comput. 30 1992 449 464
17. R. Dybowski, and V. Gant Artificial neural networks in pathology and medical laboratories Lancet 346 1995 1203 1207
18. P.K. Simpson Artificial Neural Systems 1989 Pergamon Press Oxford
19. İ. Türkoǧlu, A. Arslan, and E. İlkay An expert system for diagnosis of the heart valve diseases Expert Systems Appl. 23 2002 229 236
20. B.C.B. Chan, F.H.Y. Chan, F.K. Lam, P.W. Lui, and P.W.F. Poon Fast detection of venous air embolism is Doppler heart sound using the wavelet transform IEEE Trans. Biomed. Eng. 44 4 1997 237 245
21. I.A. Wright, N.A.J. Gough, F. Rakebrandt, M. Wahab, and J.P. Woodcock Neural network analysis of Doppler ultrasound blood flow signals a pilot study Ultras. Med. Biol. 23 5 1997 683 690