The Medical SAM (Segment Anything Model) repository is a fork of the original SAM repository with modifications to support object segmentation in medical imaging using DICOM files. The SAM model is a state-of-the-art object segmentation model that predicts object masks given prompts that indicate the desired object. This implementation uses SAM to efficiently produce high-quality masks from prompts for medical imaging tasks using DICOM files. It allows the user to provide box prompt via the SamPredictor class to predict masks for a given medical DICOM file.
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