A survey on deep Learning's Effectiveness in Detecting Brain Tumors-Reference-Cited by-同舟云学术

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A survey on deep Learning's Effectiveness in Detecting Brain Tumors

Published:2023-11-01 Issue: Volume:19 Page:1-13
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
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Author:

Devi Pothreddypally Jhansi¹,Cyril C. Pretty Diana²,Babu Ch. Madhu³

Affiliation:

1. SRM Institute of Science and Technology,College of Engineering and Technology,Department of ComputingTechnologies,Kattankulathur,TN,India,603203

2. SRM Institute of Science and Technology,College of Engineering and Technology, Faculty of Engineering and Technology,Department of Computing Technologies,Kattankulathur,TN,India,603203

3. B V Raju Institute of Technology,Department of Computer Science Engineering,Narsapur, Medak,Telangana,India,502331

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369684.pdf?arnumber=10369684

Reference70 articles.

1. A Review on a Deep Learning Perspective in Brain Cancer Classification

2. Intraoperative Neurophysiological Monitoring : A Review of Techniques Used for Brain Tumor Surgery in Children

3. A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images

4. Multi-Classification of Brain Tumor Images Using Deep Neural Network

5. Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection

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