International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

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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