Brain Tumor Detection Using Convolutional Neural Network
Author:
Affiliation:
1. Near East University Nicosia,Software Engineering Dept,N. Cyprus via Mersin 10,Turkey
2. Near East University Nicosia,Electrical & Electronic Engineering Dept,N. Cyprus via Mersin 10,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9932444/9932651/09932741.pdf?arnumber=9932741
Reference23 articles.
1. Brain tumor segmentation using cascaded deep convolutional neural network
2. A review: Data pre-processing and data augmentation techniques
3. Sentiment Analysis on a Set of Movie Reviews Using Deep Learning Techniques
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1. Comparative Analysis of Convolutional Neural Networks for Brain Tumor Detection: A Study of VGG16, ResNet, Inception, and DenseNet Models;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05
2. A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations);Journal of Medical and Biological Engineering;2024-04
3. Brain Tumor Detection Using Deep Learning(CNN);2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05
4. Federated Learning for Predictive Healthcare Analytics: From theory to real world applications;BIO Web of Conferences;2024
5. Investigation of VGG-16, ResNet-50 and AlexNet Performance for Brain Tumor Detection;International Journal of Online and Biomedical Engineering (iJOE);2023-06-27
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