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Volume 5, 2023 - Issue 2

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Attention Mechanism-Enhanced Imaging Techniques for Brain Tumor Classification
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Journal Article

Attention Mechanism-Enhanced Imaging Techniques for Brain Tumor Classification

by Harish Chandra 1,*
1
Indian Institute of Information Technology, Allahabad, Department of Management Studies, India
*
Author to whom correspondence should be addressed.
JGSR  2023 5(2):86; https://doi.org/10.xxxx/xxxxxx
Received: 23 March 2023 / Accepted: 1 November 2023 / Published Online: 10 December 2023
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Abstract

At present, deep learning has been successfully applied in the field of medical diagnosis, and it can effectively improve the diagnostic accuracy by using deep learning to predict brain tumor images. Based on traditional convolution neural networks tend to ignore the problem of key location in brain tumor image information, this paper proposes a door control channel attention conversion unit, door control channel attention switching unit by using the relationship between a small number of parameters to change the channel, under the condition of without any increase in computational cost more significantly improve classification accuracy. Also, the Sequeeze and Excitation block is introduced for the communication between the channels. Finally, a multipath attentional network model (FSnet) for brain tumor image classification is constructed based on ResNeXt network model. Experimental tests on brain MRI data sets show that FSnet has better classification performance than traditional convolutional neural networks.

Keywords: Attention mechanism; Convolutional neural network; Brain tumors; classification;
Copyright: © 2023 by Chandra. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Chandra, H. Attention Mechanism-Enhanced Imaging Techniques for Brain Tumor Classification. Journal of Globe Scientific Reports, 2023, 5, 86. doi:10.xxxx/xxxxxx
AMA Style
Chandra H. Attention Mechanism-Enhanced Imaging Techniques for Brain Tumor Classification. Journal of Globe Scientific Reports; 2023, 5(2):86. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Chandra, Harish 2023. "Attention Mechanism-Enhanced Imaging Techniques for Brain Tumor Classification" Journal of Globe Scientific Reports 5, no.2:86. doi:10.xxxx/xxxxxx

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