Brain Tumor Detection Using Transfer Learning with Dimensionality Reduction Method

Authors

Keywords:

Brain Tumor Detection, Medical Imaging, MRI Images, Transfer Learning, Dimensionality Reduction, Deep Learning

Abstract

A tumor is a mass of abnormal cells that accumulate forming a tissue. These abnormal cells feed on the normal body cells and
destroy them and keep growing bigger. One of these tumors is a brain tumor. A brain tumor is imaged with MRI (Magnetic Resonance
Imaging), giving a cross-section image of the brain. In this paper, we have proposed a novel brain tumor detection method, which uses a
convolutional neural network with a transfer learning approach along with the dimensionality reduction method. The comparative analysis
of various transfer learning models with and without dimensionality reduction methods is included to present the effectivenes s of the
proposed model.

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References

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Published

27.05.2022

How to Cite

[1]
P. Modiya and S. Vahora, “Brain Tumor Detection Using Transfer Learning with Dimensionality Reduction Method”, Int J Intell Syst Appl Eng, vol. 10, no. 2, pp. 201–206, May 2022.

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Section

Research Article