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Two stage self-adaptive cognitive neural network for mixed noise removal from medical images

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Abstract

In the current era of technological advancements where convergence of social mobility analytics and clouds enabled the end users in capturing precise medical images on the go but also had lead incorporation of unusual noises too. One such scenario is the combination of both Additive White Gaussian Noise (AWGN) along with impulse noise that are added during acquisition and post-processing of medical images which hampers the overall medical image processing where identification of region of interest is pretty important. The noises not only affect the textures but also could plays at the pixelate level. In this work, a patch transformation technique for mixed noise removal and the bilateral filtering approach for edge preservation have been associated with the cognitive neural network model to remove the noise from medical images. The self adaptation of the network identifies the presence of mixed noise and generate the training dataset with the noisy patches along with the denoised patches. The proposed two stage self adaptive cognitive neural network model (SACNN) successfully retains the edge information along with denoising of the images. The performance of SACNN model is compared with other state-of-the-art techniques through various performance matrices. Statistical analysis such as, Signed test, Wilcoxon Signed rank test and Friedman test are also carried out to investigate the dominance of proposed approach over others.

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    Authors and Affiliations

    1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India

      Vishal H Shah & Prajna Parimita Dash

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    1. Vishal H Shah
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    2. Prajna Parimita Dash
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    Correspondence to Vishal H Shah.

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    Medical Images for the study in this research have been obtained from Om Hospital, Raipur and patients’ identity have not been disclosed. The authors declare that there are no conflicts of interest.

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    Prajna Parimita Dash has contributed equally to this work

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    Shah, V.H., Dash, P.P. Two stage self-adaptive cognitive neural network for mixed noise removal from medical images. Multimed Tools Appl 83, 6497–6519 (2024). https://doi.org/10.1007/s11042-023-15423-9

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