Open Access

ARTICLE

GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI

Md. Atiqur Rahman¹, Mustavi Ibne Masum¹, Khan Md Hasib², M. F. Mridha^3,*, Sultan Alfarhood⁴, Mejdl Safran^4,*, Dunren Che⁵

1 Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, Bangladesh
2 Department of Computer Science and Software Engineering, The University of Western Australia, Perth, WA 6009, Australia
3 Department of Computer Science, American International University-Bangladesh, Dhaka, 1229, Bangladesh
4 Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O.Box 51178, Riyadh, 11543, Saudi Arabia
5 School of Computing, Southern Illinois University, Carbondale, 62901, USA

* Corresponding Authors: M. F. Mridha. Email: ; Mejdl Safran. Email: