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Neuro-Fuzzy based Multimodal Medical Image Fusion

Publication Type : Conference Proceedings

Publisher : 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), IEEE

Source : 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), IEEE (2020)

Url : https://ieeexplore.ieee.org/document/9198404

Keywords : data visualisation, diagnosis planning, Discrete Wavelet Transform, entropy, fuzzy neural nets, fuzzy set theory, grayscale images, image colour analysis, Image fusion, intelligent decision making, Medical diagnostic imaging, Medical image fusion, Medical Image Processing, multimodal medical image fusion, Neuro-Fuzzy, neurofuzzy rule, Patient treatment, Principal component analysis, principal component analysis fusion rule, tissue structure, treatment planning, Visualization, Wavelet domain, Wavelet transforms

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2020

Abstract : The role of fusion of images in determining the quality of medical images for diagnosis and treatment planning is important. Present work deals with fusion in wavelet domain with approximation components applied with Principal Component Analysis(PCA) fusion rule and detailed components with Neuro-Fuzzy rule. The pca helps to keep structural information in each position. Neuro-Fuzzy computing allows better intelligent decision-making in the selection of detailed components. The proposed algorithm provides better visualization and tissue structure of the organ. The proposed algorithm can work for both color as well as grayscale images. The proposed fusion algorithm tested with four pairs of data sets which are collected from defense journal. Well-known quantitative measures and subjective assessment by a team of expert radiologists validates the study of the proposed algorithm.

Cite this Research Publication : R. R. Nair, Karumanchi, S. H., and Dr. Tripty Singh, “Neuro-Fuzzy based Multimodal Medical Image Fusion”, 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2020.

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