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

Spending hours manually processing medical images? Our Medical Image Labeler app in MATLAB automates the segmentation and analysis of 2D and 3D images, saving you time and helping you make better decisions. #MATLAB #DataAnalysis #Efficiency Try it out today! | MATLAB

MATLAB now includes the Cellpose library, enhancing our cell segmentation capabilities for pathology and microscopy images. This integration makes it easier to work with Cellpose models and apply them to high-resolution whole slide images. Start experimenting with this step-by-step guide 👉 http://spr.ly/6188wzE7p #Pathology #Microscopy | MATLAB

5.1K views · 108 reactions | See how to easily collaborate with your team using projects in MATLAB | MATLAB | Facebook