ImprintLab/Medical-SAM-Adapter
Fine-tunes the Segment Anything Model (SAM) using adapter methods for medical image segmentation tasks.
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Medical SAM Adapter applies efficient adapter techniques to adapt the Segment Anything Model for medical imaging segmentation. It enables fine-tuning SAM on medical datasets like retinal imaging (REFUGE) without full model retraining. The project includes a lightweight adapter approach similar to LoRA and an efficient variant using EfficientSAM for faster inference.
Frequently asked
- What is ImprintLab/Medical-SAM-Adapter?
- Fine-tunes the Segment Anything Model (SAM) using adapter methods for medical image segmentation tasks.
- Is Medical-SAM-Adapter open source?
- Yes — ImprintLab/Medical-SAM-Adapter is open source, released under the GPL-3.0 license.
- What language is Medical-SAM-Adapter written in?
- ImprintLab/Medical-SAM-Adapter is primarily written in Python.
- How popular is Medical-SAM-Adapter?
- ImprintLab/Medical-SAM-Adapter has 1.3k stars on GitHub.
- Where can I find Medical-SAM-Adapter?
- ImprintLab/Medical-SAM-Adapter is on GitHub at https://github.com/ImprintLab/Medical-SAM-Adapter.