Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification

Autor: Khan, Md Ashik, Auvee, Rafath Bin Zafar

Accurate brain tumor classification in MRI images is critical for timely diagnosis and treatment planning. While deep learning models like ResNet-18, VGG-16 have shown high accuracy, they often come with increased complexity and computational demands

Externí odkaz: http://arxiv.org/abs/2411.15596

Government enterprise architectures.

Autor: Azad, Muhammad Abul Kalam, Khan, Md. Ashik Ali, Alam, Mahbubul

Publikováno v: Proceedings of the 2nd International Conference: Theory & Practice of Electronic Governance; 12/ 1/2008, p459-460, 2p