Brain tumor detection using CNN

Author(s)	Pillala Venkat Koushik, P.Sree charan naik, Mrs.J.Joan Niveda
Country	India
Abstract	This research presents a strategy for tumour extraction from 2D MRI scans using a Fuzzy C Means clustering algorithm, conventional classifiers, and a convolutional neural network. Various tumor sizes, locations, forms, and picture intensities were accounted for in the real-time dataset used in the experimental investigation. Support Vector Machine (SVM), KNearest Neighbor (KNN), Multilayer Perceptron (MLP), Logistic Regression, Naïve Bayes, and Random Forest were the six classic classifiers used in the traditional classifier component of scikit-learn. Convolutional Neural Networks (CNNs) built using Keras and Tensorflow were the next step as they outperformed the Chennai, Tamil Nadu,India”.
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-30
Cite This	Brain tumor detection using CNN - Pillala Venkat Koushik, P.Sree charan naik, Mrs.J.Joan Niveda - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.15023
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.15023
Short DOI	https://doi.org/gtppg8

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International Journal For Multidisciplinary Research