ContiLNN

Adds bidirectional liquid-neural modules along the slice axis to 2D restoration backbones; pretrained checkpoints for CT denoising, MRI super-resolution and low-count PET

Group

Segmentation & frameworks

Type

Data / preprocessing

Modality

Radiology: CT; MRI; PET

Maintainer

ContiLNN authors (Kunming UST / collaborators)

License

Apache-2.0

Last update

2026-10-09 (last repository push, UTC)

Links

• github.com/Noah-hjl/ContiLNN

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• MedSAM: Segment Anything adapted for medical images
• MedSAM2: Promptable segmentation of 3D medical images and videos

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