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

Modiya, P., & Vahora, S. (2022). Brain Tumor Detection Using Transfer Learning with Dimensionality Reduction Method. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 201–206. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/1310

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Section

Research Article