Niloufar Eghbali Zarch

GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation

Vision Transformers (ViTs) have shown promise in medical image semantic segmentation (MISS) by capturing longrange correlations. However, ViTs often struggle to model local spatial information effectively, which is essential for accurately segmenting fine anatomical details, particularly when applie…