Brain Tumor Detection and Classification using Magnetic Resonance Imaging and Machine Learning Approaches

Author:

Sree B. Ramya1,Krishna Rao N V1,Srinivasulu Ch1,Kumar Turpati Pavan2,Ramaneesh Valisetty2,Narayana J.S. Bharath2,Dutta Sourav1

Affiliation:

1. Institute of Aeronautical Engineering,Department of Computer Science and Engineering,Hyderabad,India

2. SRM University,Department of Computer Science and Engineering,AP,India

Publisher

IEEE

Reference43 articles.

1. Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions;teekaraman;Electronics,2021

2. Energy efficient multi-hop routing protocol for smart vehicle monitoring using intelligent sensor networks

3. Real Time Sustainable Power Quality Analysis of Non-Linear Load under Symmetrical Conditions

4. A Self-Adaptive framework for Rectification and Detection of Blackhole and Wormhole attacks in 6LoWPAN;t;Wireless Communications and Mobile Computing,2021

5. A Novel Optimal Robotized Parking System Using Advanced Wireless Sensor Network

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1. Enhanced Magnetic Resonance Imaging for Accurate Classification of Benign and Malignant Brain Cells;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. Brain Tumor Segmentation Using Convolutional Neural Network in MRI Images Based on Deep Learning;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05

3. Ensemble Learning Driven Computer-Aided Diagnosis Model for Brain Tumor Classification on Magnetic Resonance Imaging;IEEE Access;2023

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