deepmedic/deepmedic

Health v2 · maintenance only

Adoption not part of the score

1063 stars · 341 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DeepMedic is an efficient multi-scale 3D convolutional neural network for segmenting 3D medical scans such as MRI and CT. It is a Python-based research tool originally developed for brain lesion segmentation.

Use cases

• segment brain MRI scans for lesions
• 3D medical image segmentation with CNNs
• run multi-scale 3D CNN on CT volumes
• segment tumors in medical scans
• research on 3D convolutional neural networks for medical imaging

When to choose

• you need proven 3D CNN segmentation for medical volumes like MRI or CT
• you want a lightweight, CPU/GPU-friendly tool for brain lesion segmentation
• you are doing medical imaging research and need a reproducible baseline model

When to avoid

• you need a general-purpose deep learning framework for arbitrary tasks
• you want actively developed state-of-the-art segmentation models like nnU-Net
• you need 2D image segmentation or non-medical computer vision

Facets

library · maturity maintenance

deep-learning machine-learning image-processing computer-vision deep-learning machine-learning healthcare image-processing python medical-imaging 3d-segmentation cnn brain-mri multi-scale linux gpu

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markdown · JSON · MCP: product_card(name="deepmedic/deepmedic")