Classification of Brain Tumors using MRI images based on Convolutional Neural Network and Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Classification of Brain Tumors using MRI images based on Convolutional Neural Network and Supervised Machine Learning Algorithms

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
language:
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Author:

Ali Rawaa¹,Al-jumaili Saif²,Duru Adil Deniz³,Ucan Osman Nuri²,Boyaci Aytug⁴,Duru Dilek Goksel⁵

Affiliation:

1. Altinbas University,Information Technologies,Istanbul,Turkey

2. Altinbas University,Electrical and Computer Engineering,Istanbul,Turkey

3. Marmara University,Neuroscience and Psychology Research in Sports Lab,Istanbul,Turkey

4. Air Force Academy,Department of Computer Engineering,Istanbul,Turkey

5. German University,Faculty of Science Turkish,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9932444/9932651/09932690.pdf?arnumber=9932690

Reference49 articles.

1. Going deeper with convolutions

2. Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier

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2. Brain tumor classification using ResNet50-convolutional block attention module;Applied Computing and Informatics;2023-12-21

3. Pseudopapilledema Diagnosis Based on a Hybrid Approach Using Deep Transfer Learning;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

4. Multiclass Brain Tumor Classification of MR-Images Using ResNet-50 and Dimensionality Reduction Techniques;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23

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