Brain Tumor Detection and Classification using Magnetic Resonance Imaging and Machine Learning Approaches-Reference-Cited by-同舟云学术

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

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computing Methodologies and Communication (ICCMC)
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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

Link

http://xplorestaging.ieee.org/ielx7/9752772/9753686/09754077.pdf?arnumber=9754077

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. 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

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