Performance analysis of various deep learning techniques for brain tumor classification-Reference-Cited by-同舟云学术

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Performance analysis of various deep learning techniques for brain tumor classification

Published:2023-02-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)
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Author:

Jaidka Preeti¹,Jain Sachin²

Affiliation:

1. affiliated to AKTU Lucknow,JSS Academy of Technical Education Noida,Department of Electrical and Electronics Engineering,UP,India

2. affiliated to AKTU Lucknow,Ajay Kumar Garg Engineering College, Ghaziabad,Department of Computer Science and Engineering,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10085728/10085720/10085796.pdf?arnumber=10085796

Reference29 articles.

1. Classification using deep learning neural networks for brain tumors

2. Implementation of convolutional neural network approach for COVID-19 disease detection

3. Classification of Brain Tumor MRIs Using a Kernel Support Vector Machine

4. A hybrid image enhancement based brain MRI images classification technique

5. Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture;çinar;Med Hypotheses,2020

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1. Identifying and Categorizing Alzheimer's Disease with Lightweight Federated Learning Using Identically Distributed Images;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

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