Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks-Reference-Cited by-同舟云学术

Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks

Author:

Arunkumar N.¹,Mohammed Mazin Abed²,Mostafa Salama A.³,Ibrahim Dheyaa Ahmed²,Rodrigues Joel J.P.C.⁴⁵^ORCID,Albuquerque Victor Hugo C.⁶^ORCID

Affiliation:

1. Sastra University Tanjore India

2. Planning and Follow Up Department, University HeadquarterUniversity of Anbar Anbar Iraq

3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia Johor Malaysia

4. National Institute of Telecommunications (Inatel) Santa Rita do Sapucaí‐MG Brazil

5. Instituto de Telecomunicações Lisboa Portugal

6. Graduate Program in Applied InformaticsUniversity of Fortaleza Fortaleza/CE Brazil

Funder

Fundo para o Desenvolvimento Tecnológico das Telecomunicações

Fundação para a Ciência e a Tecnologia

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Government Council on Grants, Russian Federation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference27 articles.

Cited by 102 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

5. Optimized approaches to reduce computational complexity for grading of Astrocytoma’s brain cancers;PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN ENGINEERING AND TECHNOLOGY - ITechCET 2022;2024