A custom lightweight CNN classifies brain tumors in MRI scans at 99%+ accuracy on two public datasets while using fewer parameters than standard models like ResNet50.
Mri-based identification of brain tumors using deep convolutional neural networks: A case study on inception v3,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
A custom lightweight CNN classifies brain tumors in MRI scans at 99%+ accuracy on two public datasets while using fewer parameters than standard models like ResNet50.