Heart segmentation
Heart segmentation is labeling the chambers and walls of the heart on medical images so you can measure volume, ejection fraction, wall thickness, and scar — not just watch a beating blob. The usual input is short-axis cine MRI. CT and echo show up too. The output is a mask of the left ventricle (LV), […]
Liver segments on CT
Liver segments on CT are the eight Couinaud units — each with its own portal inflow, hepatic-vein outflow, and bile duct. This page is that map on a contrast CT. It is not an organ-mask how-to, and it is not ultrasound. If you meant the liver organ mask (automated contouring) → liver segmentation on CT. […]
Liver segmentation on CT
Liver segmentation on CT means drawing the organ’s boundary — a mask of the liver, not the eight Couinaud segments inside it. Manual contouring on every slice is slow and operator-dependent. Automated methods (thresholding, region growing, CNNs) do that contour so a volume, a radiation plan, or a resection remnant has a number attached to […]
Image coordinate system
Master pixel precision—understand image coordinate systems that power accurate processing, analysis, and 3D transformations.
Generate synthetic medical images with medigan
Create synthetic medical images effortlessly with medigan, a Python library powered by GANs.
Automatic spine segmentation in 3D Slicer
Use 3D Slicer and nnUNet for automatic spine segmentation.
AI in medical images
AI in medical imaging: anonymization, detection, segmentation.
CNNs or ViT for medical imaging
What is best for medical imaging, is it CNN based model, or ViT based model? See this blog post to get your answer!
How to Capture 3D Mesh Screenshots with Vedo
Capture 3D STL mesh screenshots effortlessly with the vedo Python library. A quick step-by-step guide.
3D mesh cutter
Learn how to cut 3D meshes using Python and the Vedo library, perfect for applications in medical imaging, engineering, and more.