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Found 4 papers, 1 papers with code
ProMamba: Prompt-Mamba for polyp segmentation
To address these issues, we propose a segmentation model based on Prompt-Mamba, which incorporates the latest Vision-Mamba and prompt technologies.
A Segmentation Foundation Model for Diverse-type Tumors
Large pre-trained models with their numerous model parameters and extensive training datasets have shown excellent performance in various tasks.
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
The Segmentation Anything Model (SAM) serves as a powerful foundation model for visual segmentation and can be adapted for medical image segmentation.
A Hole Filling Approach Based on Background Reconstruction for View Synthesis in 3D Video
However, in the synthesis process, the background occluded by the foreground objects might be exposed in the new view, resulting in some holes in the synthetized video.
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