ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation
arXiv:2604.24876v1 Announce Type: new
Abstract: Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial prompt based models by allowing users to specify regions of interest directly in natural language. This …