Tencent/MedicalNet

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2255 stars · 462 forks observed · 2026-08-28

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

MedicalNet provides a series of 3D-ResNet pre-trained models trained on 23 diverse medical imaging datasets, with PyTorch transfer-learning code based on the Med3D paper. It enables fine-tuning strong 3D backbones for medical image segmentation and classification tasks.

Use cases

• fine-tune 3D resnet on medical images
• pretrained 3D medical image segmentation backbone
• transfer learning for CT/MRI deep learning
• improve segmentation accuracy with pretrained weights
• medical image classification with limited data

When to choose

• you need 3D medical imaging pretrained weights for transfer learning
• your labeled medical dataset is too small to train from scratch
• you work in PyTorch with 3D ResNet architectures

When to avoid

• you need 2D pretrained models or non-ResNet architectures
• you require a permissively maintained, actively updated library
• you need out-of-the-box inference without writing training code

Facets

library · maturity maintenance

machine-learning deep-learning image-processing healthcare deep-learning machine-learning computer-vision python pretrained-models 3d-resnet medical-imaging transfer-learning segmentation pytorch gpu linux

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