Energy Efficient Lung Tumor Segmentation with a modified CBAM ENet Skip Model.

arXiv:2610.33479v1 Announce Type: cross Abstract: Lung tumor segmentation plays a vital role in early detection and treatment planning of lung cancer. Although state-of-the-art deep learning models achieve high dice score coefficients (DSC), each forward pass