CVP-BAA: Efficiently Adapting Segment Anything Model for Medical Image Segmentation
eess.IV
Submitted: 2026-10-22
Updated: 2026-10-22
Related papers
- GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI
- PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
- Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
- Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
- VesselSDF: Distance Field Priors for Vascular Network Reconstruction
- cSVR: Convolutional Slice-to-Volume Reconstruction