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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM8116

DETECTION OF BRAIN TUMOR USING MACHINE LEARNING

Stream/Area:

-

Subject:

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Paper ID:

IJSREM8116

Volume:

5 |

5 |

May 2021

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MPV

Ms. P. Vaishnavi

FJ

F. Jamsheed

GK

G. Kaushik

RK

R. Kishokkumar

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Abstract

Brain tumor detection and segmentation are important tasks in medical image analysis. This project is about creating an image classification model to detect whether an MRI image of a brain has a tumor or not. The model is created using Fast ai, which is a high-level deep learning library built on top of Py Torch. The dataset used in this project contains MRI images of brains with and without tumors. The model is trained using transfer learning with ResNet18 and ResNet34 as the base architectures. After training the model, it is exported and used to make predictions on new images using a simple web interface built with widgets.

KEYWORDS

Brain tumor detection segmentation medical image analysis Fast

Cite This Article

Ms. P. Vaishnavi, F. Jamsheed, G. Kaushik, R. Kishokkumar, "DETECTION OF BRAIN TUMOR USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 5, May 2021.

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Publication Date

5/10/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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