Analysis of Brain Tumor using Pre-trained CNN Models and Machine Learning Techniques

A brain tumor is a life-threatening illness that disrupts the human body's natural functioning. Early detection of brain tumors is important for an accurate diagnosis and successful treatment strategy. The categorization of a brain tumor is based on the physician's expertise and understand...

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Bibliographic Details
Published in2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) pp. 1 - 6
Main Authors Kaur, Divjot, Goel, Silky, Nijhawan, Rahul, Gupta, Siddharth
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.02.2022
Subjects
Brain modeling
Brain tumor
Computational modeling
Feature extraction
Machine learning
Manuals
Medical services
Predictive models
VGG16
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Summary:A brain tumor is a life-threatening illness that disrupts the human body's natural functioning. Early detection of brain tumors is important for an accurate diagnosis and successful treatment strategy. The categorization of a brain tumor is based on the physician's expertise and understanding. However, for timely brain tumor analysis, an automated approach is necessary. The three feature extraction models presented in this article, namely VGG16, VGG19, and Inception v3, give important but easy combination approaches that can generate better and more accurate predictions. Also, machine learning classifiers aid in the categorization of benign (non-cancerous) and malignant (cancerous) brain tumors. With VGG16 and a neural network classifier, the present work had the greatest accuracy of 99.4 %.
ISSN:2688-0288
DOI:10.1109/SCEECS54111.2022.9741022