Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model-Reference-Cited by-同舟云学术

Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model

Published:2023 Issue: Volume:11 Page:72518-72536
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jabbar Ayesha¹,Naseem Shahid¹^ORCID,Mahmood Tariq²^ORCID,Saba Tanzila²,Alamri Faten S.³^ORCID,Rehman Amjad²

Affiliation:

1. Department of Information Sciences, Division of Sciences and Technology, University of Education, Lahore, Pakistan

2. Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

3. Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University and Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10162199.pdf?arnumber=10162199

Reference65 articles.

1. A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities

2. Brain tumor detection and classification based on hybrid ensemble classifier;garg;arXiv 2101 00216,2021

3. Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning

4. Design and Implementing Brain Tumor Detection Using Machine Learning Approach

5. A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

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