Titlebook: Artificial Intelligence in Diffusion MRI; Enhanced Cuckoo Sear Mohammad Shehab Book 2020 Springer Nature Switzerland AG 2020 Cuckoo Search

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Introduction of Diffusion MRI and Cuckoo Search Algorithm,r deterioration of the cited functions or even in permanent disability. Medical imaging, especially Magnetic Resonance Imaging (MRI), helps mapping the anatomical and functional aspects of the brain, considered as the substratum of the different functions.

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Modified Cuckoo Search Algorithm (MCSA) For Extracting the ODF Maxima,ased, thereby avoiding premature convergence. Performance is validated by applying several benchmarks (Shehab and Khader .). The results of the experimental indicate that MCSA performs better than the standard CSA and the other compared methods. Subsequently, MCSA is applied to extract the ODF maxima, namely, MCSA-ODF.

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https://doi.org/10.1007/978-3-531-19369-4linical diagnosis and management of brain disorders. For that, a lot of variety of invasive tools have been introduced to study brain white matter structural connectivity and configuration. Nevertheless, these tools pose a risk to human life. Therefore, there must be alternatives to avoid this risk.

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https://doi.org/10.1007/978-3-658-03760-4k on this algorithm has significantly increased, and CSA currently has its rightful place among other optimization methodologies (Shehab et al. .). MCSA is based on replacing the random selection process with the tournament selection scheme. Thus, the probability of achieving better results is incre