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Detection of brain disorders using artificial neural networks

Shaikh Abdul Hannan, Pushparaj Pushparaj, Mohammed Junaid Khan, Anil Kumar, Taranpreet Kaur

Abstract


A utilitarian model of artificial neural networks (ANNs) is proposed in this paper to assist with existing determination procedures. In the space of radiology, cardiology, and oncology specifically, ANNs are as of now a “hot” concentrate on point in medication. The use of ANNs in the clinical field was endeavoured in this exploration. To distinguish and order the presence of brain cancers as per attractive reverberation (MR) imaging, a personal computer PC helped finding (computer aided design) framework utilizing ANNs was fabricated. This framework then distinguished which sort of ANNs and actuation capability for ANNs is great for picture acknowledgment. PCs and other generally open or made electronic contraptions assume a part in improving exhibition and bringing down intricacy in the division cycle. This study utilized brain single photon emission computed tomography information to show how helpful artificial neural networks are at distinguishing Alzheimer disease (promotion) Single Positron Emission Computed Tomography (SPECT).


Keywords


brain disorders; artificial neural networks; detection; Alzheimer’s disease

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References


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DOI: https://doi.org/10.32629/jai.v7i5.704

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Copyright (c) 2024 Shaikh Abdul Hannan, Pushparaj, Mohammed Junaid Khan, Anil Kumar, Taranpreet Kaur

License URL: https://creativecommons.org/licenses/by-nc/4.0/