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Simplify medical image segmentation—no complex coding required ✅ Import medical imaging data from DICOM, NIfTI, or NRRD files ✅ View images slice by slice in transverse, sagittal, and coronal planes or in 3D ✅ Segment & Label images manually or with tools like Active Contours & Super Pixels ✅ Customize workflows with deep learning & image processing techniques ✅ Export labeled volumes for diagnostic and radiomics applications Learn more: https://spr.ly/6180FDZuQ | MATLAB
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Image segmentation = dividing an image into pixel groups (regions). A segmentation model takes an image and outputs segments, usually as masks (more common than contours). In masks, each segment gets a different grayscale label, and we often use pseudocoloring to visualize them clearly. Resources: https://vist.ly/4kep6 #ComputerVision #ImageSegmentation #OpenCV #DeepLearning #AI #ImageProcessing
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