EDLNet: ensemble deep learning network model for automatic brain tumor classification and segmentation-Reference-Cited by-同舟云学术

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EDLNet: ensemble deep learning network model for automatic brain tumor classification and segmentation

Published:2024-02-12 Issue: Volume: Page:1-13
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Vinta Surendra Reddy¹,Chintalapati Phaneendra Varma²,Babu Gurujukota Ramesh²,Tamma Rajyalakshmi³,Sai Chaitanya Kumar Gunupudi⁴

Affiliation:

1. School of Computer Science and Engineering, VITAP University, Andhra Pradesh, India

2. Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women (A), Bhimavaram, Andhra Pradesh, India

3. Department of Computer Science and Engineering, University College of Narasaraopet (JNTUN), Narasaraopet, Andhra Pradesh, India

4. Department of Computer Science and Engineering, DVR & Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2024.2311343

Reference44 articles.

1. Differential Deep Convolutional Neural Network Model for Brain Tumor Classification

2. Brain tumor type classification using deep features of MRI images and optimized RBFNN;Addeh A.;ENG Transactions,2021

3. Detection of brain lesion location in MRI images using convolutional neural network and robust PCA

4. Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model

5. Detection of brain tumor using deep learning;Almadhoun H. R.;International Journal of Academic Engineering Research (IJAER),2022

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