2 papers
eess.IV2025
Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
Md Rakibul Islam, Riad Hassan, Abdullah Nazib +3
Deep learning has achieved remarkable accuracy in medical image segmentation, particularly for larger structures with well-defined boundaries. However, its effectiveness can be cha…
cs.CV2025
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
Riad Hassan, M. Rubaiyat Hossain Mondal, Sheikh Iqbal Ahamed +2
Proper segmentation of organs-at-risk is important for radiation therapy, surgical planning, and diagnostic decision-making in medical image analysis. While deep learning-based seg…