Improved Brain Tumor Segmentation and Classification in Brain MRI With FCM-SVM: A Diagnostic Approach-Reference-Cited by-同舟云学术

Improved Brain Tumor Segmentation and Classification in Brain MRI With FCM-SVM: A Diagnostic Approach

Published:2024 Issue: Volume:12 Page:61312-61335
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alqhtani Samar M.¹^ORCID,Soomro Toufique Ahmed²^ORCID,Ali Shah Ahmed³^ORCID,Aziz Memon Abdul³^ORCID,Irfan Muhammad⁴^ORCID,Rahman Saifur⁴^ORCID,Jalalah Mohammed⁴,Almawgani Abdulkarem H. M.⁴^ORCID,Bade Eljak Ladon Ahmed⁵^ORCID

Affiliation:

1. Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

2. Department of Electronics Engineering, The University of Larkano, Larkana, Sindh, Pakistan

3. Department of Electrical Engineering, Sukkur IBA University, Sukkur, Pakistan

4. Department of Electrical Engineering, College of Engineering, Najran University, Najran, Saudi Arabia

5. Department of Electrical and Electronic Engineering, Sudan Technological University, Khartoum, Sudan

Funder

Deanship of Scientific Research, Najran University. Kingdom of Saudi Arabia, under the Distinguish Research funding program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10509694.pdf?arnumber=10509694

Reference80 articles.

1. An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT

2. Convolutional Neural Network for Retinal Blood Vessel Segmentation

3. Imaging techniques in neuro-oncology

4. Relationship of T2-Weighted MRI Myocardial Hyperintensity and the Ischemic Area-At-Risk

5. Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature

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