├── src/ # Source code │ ├── instance_segmentation.py # Core segmentation implementation │ └── data_generator.py # Synthetic data generation ├── web_app/ # Web interface │ └── app.py # Streamlit ...
On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning
Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
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