An analysis of convolutional neural network and conventional machine learning for multiclass brain tumor detection-Reference-Cited by-同舟云学术

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An analysis of convolutional neural network and conventional machine learning for multiclass brain tumor detection

Published:2024 Issue: Volume:3072 Page:020030
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Yadav Akash,Kumar Rakesh,Gupta Meenu

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0198745

Reference24 articles.

1. Brain tumor detection using fusion of hand crafted and deep learning features

2. A unified patch based method for brain tumor detection using features fusion

3. BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

4. Brain Image Classification Using Learning Machine Approach and Brain Structure Analysis

5. Classification of Brain MRI Tumor Images: A Hybrid Approach

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Deep and Machine Learning Techniques for Brain Tumor Detection;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

2. Multi-Model CNN Approaches for Prediction of Brain Tumor Using MRI Images;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

3. Brain Tumour Detection Using Deep Learning Techniques;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

4. InsightBrain: CNN-Based Binary Classification of Brain Tumor Images;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

5. Advancing Medical Imaging: A Comprehensive Synthetic Dataset for Infant Brain MRI Analysis;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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