NDLI: Fuzzy Hybridization of "Artificial Neural Networks" (ANN) Based Signal and Image Processing Techniques: Application to Intelligent "Computer Aided Medical Diagnosis" (CAMD)

Content Provider	IEEE Xplore Digital Library
Author	Chohra, A. Kanaoui, N. Amarger, V. Madani, K.
Copyright Year	2005
Description	Author affiliation: Intell. in Instrum. & Syst. (I2S) Div. of Images, PARIS XII Univ., Paris (Chohra, A.; Kanaoui, N.; Amarger, V.; Madani, K.)
Abstract	In this paper, an automated fault diagnosis system essentially based on neural networks and fuzzy logic, in a hybrid scheme, is suggested. First, a signal classification and image classification, resulting in a signal diagnosis and image diagnosis respectively, are developed. Such dual-classification is then exploited in a fuzzy system 1 to ensure a satisfactory reliability to medical diagnosis and particularly for auditory pathologies. Second, this reliability is reinforced using the obtained diagnosis result with an auditory threshold parameter of patients exploited in a fuzzy system 2 in order to generate the decision-making of the final diagnosis result. Finally a discussion is given with regard to the suggested hybrid approach and the decision-making phase for an automated fault diagnosis system.
Starting Page	78
Ending Page	83
File Size	7641524
Page Count	6
File Format	PDF
ISBN	0780394453
DOI	10.1109/IDAACS.2005.282945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-05
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Fuzzy neural networks Signal processing Image processing Application software Artificial intelligence Intelligent networks Computer applications Computer networks Medical diagnosis Decision-Making Neural Networks Signal and Image Classification Fuzzy Logic Information Fusion
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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