Awesome
SAM Medical Imaging
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.
📩 Newsletter
Stay up-to-date on the latest in computer vision and medical imaging! Subscribe to my newsletter now for insights and analysis on the cutting-edge developments in this exciting field.
🆕 NEW
Learn how to effectively manage and process DICOM files in Python with our comprehensive course, designed to equip you with the skills and knowledge you need to succeed.