A novel brain-inspired neural cognitive approach to SARS thermal image analysis

Expert Systems with Applications

Volumn 37, Issue 4, 2010, Pages 3040-3054

  Quek, C ^a   Irawan, W ^a   Ng, E Y K ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Brain inspired; Cognitive approach; Local and global semantic networks; Neural fuzzy networks; Temperature correlation; Thermal imaging; Thermographs

Indexed keywords

BRAIN-INSPIRED; NEURAL FUZZY NETWORKS; SEMANTIC NETWORK; TEMPERATURE CORRELATION; THERMAL IMAGING;

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; FUZZY CONTROL; HOSPITALS; IMAGE ANALYSIS; IMAGING SYSTEMS; INFRARED IMAGING; INFRARED SPECTROSCOPY; LEARNING ALGORITHMS; SEMANTICS; THERMOANALYSIS; THERMOGRAPHY (TEMPERATURE MEASUREMENT);

FUZZY NEURAL NETWORKS;

EID: 71349087997     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.09.028     Document Type: Article

References (59)

1. Albus J.S. A new approach to manipulator control: The cerebellar mode articulation controller (CMAC). Transaction of the ASME, Dynamics Systems Measurement and Control 63 (1975) 220-227
2. Anbar M. Clinical thermal imaging today. IEEE Engineering in Medicine and Biology Magazine 17 4 (1998) 25-33
3. Ang K.K., and Quek C. RSPOP: Rough set-based pseudo outer-product fuzzy rule identification algorithm. Neural Computation, MIT Press 17 1 (2005) 205-243
4. Ang K.K., and Quek C. Stock trading using RSPOP: A novel rough set based neuro-fuzzy approach. IEEE Transactions on Neural Networks 17 5 (2006) 1301-1315
5. Ang K.K., Quek C., and Pasquier M. POPFNN-CRI(S): Pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier. IEEE Transactions on Systems, Man and Cybernetics, Part B 33 6 (2003) 838-849
6. Araki, S., Nomura, H., & Wakami, N. (1993). Segmentation of thermal images using the fuzzy C-means algorithm. In Proceedings of the second IEEE international conference on fuzzy systems (Vol. 2, pp. 719-724).
7. Deng Z.-S., and Liu J. Mathematical modeling of temperature mapping over skin surface and its implementation in thermal disease diagnostics. Computers in Biology and Medicine 34 6 (2004) 495-521
8. Medical Thermology Clinic - FAQ (2009). .
9. Frize, M., Herry, C., & Roberge, R. (2002). Processing of thermal images to detect breast cancer: Comparison with previous work. In Proceedings of the second joint 24th annual conference and the annual fall meeting of the biomedical engineering society EMBS/BMES conference of the engineering in medicine and biology (Vol. 2, pp. 1159-1160).
10. Full body thermography (2008). .
11. Gonzalez R.C., and Woods R.E. Digital image processing. 2nd ed. (2002), Prentice Hall, New Jersey
12. Guo, Z. (2003). FCMAC-AARS: Approximate analogical reasoning based fuzzy CMAC. Final year project thesis, school of computer engineering. Singapore: Nanyang Technological University.
13. Harding J.R. Thermal imaging in the investigation of deep venous thrombosis. IEEE-EMBC and CMBEC (1997) 1701-1702
14. Harold, M., & Jeghers, J. (2005). Fever and related subjects. .
15. Herry, C., & Frize, M. (2003). Design considerations for a medical thermographic expert system. In Proceedings of the 25th annual international conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 1252-1255).
16. Hooshmand, H. (1997). The role of infrared thermography in diagnosis and management of pain. In Proceedings of the 19th annual international conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 625-630).
17. Jang J.-S.R. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics 23 3 (1993) 665-685
18. Jones B.F., and Plassmann P. Digital infrared thermal imaging of human skin. IEEE Engineering in Medicine and Biology Magazine 21 6 (2002) 41-48
19. Kasabov N. Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning. IEEE Transactions on Systems, Man and Cybernetics, Part B 31 6 (2001) 902-918
20. Lee, D.-H., & Pearce, J. A. (1989). Artificial intelligence search application to isothermal contour detection in a thermal image. In Proceedings of the sixth multidimensional signal processing workshop (Vol. 19).
21. Lee, D.-H., & Pearce, J. A. (1989). Drawing an isothermal contour map using a tree search strategy. In Proceedings of the annual international conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 559-560).
22. LeRoy, P. L. (1995). Update in interventional digitalized infra-red thermal imaging in pain management. In Proceedings of the 17th annual conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 1707-1708).
23. Lin C.-T., and Lee C.S.G. Neural fuzzy systems: A neuro-fuzzy synergism to intelligent systems (1996), Prentice Hall, Upper Saddle River, NJ
24. Lin C.-J., and Lin C.-T. An ART-based fuzzy adaptive learning control network. IEEE Transactions on Fuzzy Systems 5 4 (1997) 477-496
25. Mamdani E.H. Application of fuzzy logic to approximate reasoning using linguistic systems. IEEE Transactions on Computers C-26 (1977) 1182-1191
26. Mantaras R.L. Approximate reasoning models (1990), Ellis Horwood Limited, Chichester, West Essex, UK
27. Mendel J.M. Uncertain rule-based fuzzy logic systems: Introduction and new directions (2001), Prentice Hall, Upper Saddle River, NJ
28. Montoro J., D'Arcy S., and Anbar M. Temporal analysis of thermal images. Proceedings of annual international conference of the IEEE engineering in medicine and biology society 12 4 (1990) 1578-1579
29. Mouzouris G.C., and Mendel J.M. Nonsingleton fuzzy logic systems: Theory and application. IEEE Transactions on Fuzzy Systems 5 1 (1997) 56-71
30. Ng E.Y.K., Kaw G.J.L., and Chang W.M. Analysis of IR thermal imager for mass blind fever screening. Microvascular Research 68 2 (2004) 104-109
31. Ng G.S., Quek C., and Jiang H. FCMAC-EWS: A bank failure early warning system based on a novel localized pattern learning and semantically associative fuzzy neural network. Expert Systems with Applications 34 2 (2007) 100-989
32. Oentaryo R., Pasquier M., and Quek C. GenSoFNN-Yager: A novel brain-inspired generic self-organizing neuro-fuzzy system realizing Yager inference. Expert Systems with Applications 35 4 (2008) 1825-1840
33. Otsu N. A threshold selection method from gray-level histogram. IEEE Transactions on Systems, Man and Cybernetics (1979) 62-66
34. Phillips, L., Orlov, A., & Snider, G. L. (2009). IR thermography on the spot (instruments and controls). .
35. Pochaczevsky R., and Pillari G.F.F. Liquid crystal contact thermography of deep venous thrombosis. AJR 138 (1982) 717-723
36. Popov, D. N., & Vavilova, E. V. (2001). Using infrared thermography in the diagnostics of breast and lung oncological pathologies. In Proceedings of the fifth Russian-Korean international symposium in science and technology, KORUS '01 (Vol. 2, pp. 68-71).
37. Qi, H., Snyder, W. E., Head, J. F., & Elliott, R. L. (2000). Detecting breast cancer from infrared images by asymmetry analysis. In Proceedings of the 22nd annual international conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 1227-1228).
38. Quah K.H., and Quek C. MCES: A novel Monte Carlo evaluative selection approach for objective feature selections in data modeling. IEEE Transactions on Neural Network 18 2 (2007) 431-448
39. Quek C., Pasquier M., and Lim B.B. POP-TRAFFIC: A novel fuzzy neural approach to road traffic analysis and prediction. IEEE Transactions on Intelligent Transportation Systems 7 2 (2006) 133-146
40. Quek C., and Tung W.L. A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture. Pattern Recognition Letters 22 (2001) 941-958
41. Quek C., and Zhou R.W. POPFNN: A pseudo outer-product based fuzzy neural network. Neural Networks 9 9 (1996) 1569-1581
42. Quek C., and Zhou R.W. The POP learning algorithms: Reducing work in identifying fuzzy rules. Neural Networks 14 10 (2001) 1431-1445
43. Ring, E. F. J., & Ammer, K. (2000). The technique of infra red imaging in medicine, in thermology international 10/1 (pp. 7-14).
44. Ring, F. J., & Elvins, D. M. (1995). Temperature measurement in Paget's disease of bone. In Proceedings of the 17th annual conference of the IEEE engineering in medicine and biology society (Vol. 2, pp. 1711-1712).
45. Shi, D., Harkisanka, A., Quek, C. (2004). CMAC with fuzzy logic reasoning. In Proceedings of the 11th international conference on neural information processing (pp. 898-903).
46. Sim J., Tung W.L., and Quek C. FCMAC-Yager: A novel Yager inference scheme based fuzzy CMAC 17 6 (2006) 1394-1410
47. Tung W.L. GenSoFNN: A generic self-organising fuzzy neural network. IEEE Transactions on Neural Networks 13 5 (2002) 1075-1086
48. Tung, W. L., & Quek, C. (2002). DIC: A novel discrete incremental clustering technique for the derivation of fuzzy membership functions. In Proceedings of the seventh pacific rim international conference on artificial intelligence (pp. 178-187).
49. Tung, W. L., & Quek, C. (2002). BackPOLE: Back propagation based on objective learning errors. In Proceedings of the seventh pacific rim international conference on artificial intelligence (pp. 265-274).
50. Tung W.L., and Quek H.C. GenSoFNN: A generic self-organizing fuzzy neural network. IEEE Transactions on Neural Networks 13 5 (2002) 1075-1086
51. Tung W.L., and Quek C. GenSo-FDSS: A neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data. Artificial Intelligence in Medicine 33 1 (2005) 61-88
52. Tung W.L., Quek C., and Cheng P.Y.K. GenSo-EWS: A novel neural-fuzzy based early warning system for predicting bank failures. Neural Networks 17 4 (2004) 567-587
53. Turksen I.B., and Zhong Z. An approximate analogical reasoning schema based on similarity measures and interval-valued fuzzy sets. Fuzzy Sets System 34 (1990) 223-346
54. Varga, M. J., & De Muynck, P. (1992). Thermal analysis of infra-red mammography. In Proceedings of 11th IAPR international conference on pattern recognition. conference C: Image, speech and signal analysis (Vol. 3, pp. 360-364).
55. Varga, M. J., & Hanka, R. (1992). Automatic thermal image analysis for medical diagnosis. In International conference on image processing and its applications (pp. 526-529).
56. Yager R.R., Keller J.M., and Tahani H. Neural network implementation of fuzzy logic. Fuzzy Sets and Systems 45 1 (1992) 1-12
57. Zadeh L.A. Calculus of fuzzy restrictions. Fuzzy sets and their applications to cognitive and decision processes (1975), Academic, New York 1-39
58. Zea, T. T. (2004). Complementary learning fuzzy neural network for medical domain and bioinformatics domain application. Doctoral technical report, school of computer engineering. Singapore: Nanyang Technological University.
59. Zhang K., and Qian F. Fuzzy CMAC and its application. Proceedings of the third world congress on intelligent control and automation 2 (2000) 944-947