Brain Tumor Classification Using ML and DL Approaches-Reference-Cited by-同舟云学术

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Brain Tumor Classification Using ML and DL Approaches

Published:2023-10-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Solanki Shubhangi¹,Singh Uday Pratap²,Chouhan Siddharth Singh³

Affiliation:

1. LNCT University,Department of Computer Science Engineering,Bhopal,India,462042

2. School of Mathematics, Shri Mata Vaishno Devi University,Kakrayl, Katra,India,182320

3. School of Computing Science and Engineering, VIT Bhopal University,Sehore,Madhya Pradesh,India,466114

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346237/10346217/10346854.pdf?arnumber=10346854

Reference24 articles.

1. Brain Tumour Detection and Classification by using Deep Learning Classifier;Solanki,2023

2. Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview

3. Image Segmentation Using Computational Intelligence Techniques: Review

4. Soft computing approaches for image segmentation: a survey;Chouhan,2018

5. VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images

Cited by 2 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. Deep learning implementation of image segmentation in agricultural applications: a comprehensive review;Artificial Intelligence Review;2024-05-22

2. An Enhanced U-Network by Combining PPM and CBAM for Medical Image Segmentation;IEEE Access;2024

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