ESP-MedSAM: Efficient Self-Prompting SAM for Universal
Domain-Generalized Medical Image Segmentation
ESP-MedSAM: Efficient Self-Prompting SAM for Universal
Domain-Generalized Medical Image Segmentation
The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent Segment Anything Model (SAM) has demonstrated its potential in both settings. However, the huge computational costs, demand for manual annotations as prompts and conflict-prone …