J. Sahoo

SERA-Net: Rethinking CNN Design for Brain Tumor Classification via Squeeze-and-Excite Attention and Residual Learning

SERA-Net, a convolutional architecture for brain tumor classification using MRI scans is presented, which provides a scalable design that can be adapted to different domains with limited modifications and was observed to outperform six pretrained CNN baselines by more than 5–10%, while using substantially fewer paramet...