A modified CNN model for Brain Tumor Detection

The brain is the most essential part of the human being. Any abnormal growth of brain tissue may lead to tumors and then cancer. In time detection of brain tumors can save the life of the person affected by a brain tumor. Various research works have been developed in this field for the automatic det...

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Bibliographic Details
Published in2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS) pp. 165 - 170
Main Authors Arjun Das, Jaya Bijaya, Das, Abhishek, Sarangi, Archana, Mishra, Debahuti, Mohanty, Mihir Narayan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2022
Subjects
Brain image
Brain modeling
Computer security
Convolutional Neural Network
Convolutional neural networks
Data models
Deep learning
Dense layer
Magnetic resonance
Magnetic resonance imaging
ReLU
SoftMax
Tumor
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Summary:The brain is the most essential part of the human being. Any abnormal growth of brain tissue may lead to tumors and then cancer. In time detection of brain tumors can save the life of the person affected by a brain tumor. Various research works have been developed in this field for the automatic detection of tumors considering different preprocessing steps. In this work, we have designed a convolutional neural network model which is free from data overfitting and preprocessing steps. The proposed model was trained with the BRATS dataset containing 2065 brain magnetic resonance images (MRI) and provided 98.5% testing accuracy that is competitive with the state-of-the-art models.
DOI:10.1109/MLCSS57186.2022.00038