unet
importedsoftware/unet
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/fepegar/unet
- Documentation
- unknown
- Tags
- convolutional-neural-networks · deep-learning · medical-imaging · unet · unet-image-segmentation · unet-pytorch
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Lung-Tumor-Segmentation-DSunet · unet-image-segmentation · unet-pytorch
Lung tumor segmentation with the UNet model.
- SelfReg-UNetmedical-imaging · unet · unet-image-segmentation
Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "
- U-Net-PyTorchmedical-imaging · unet · unet-image-segmentation
🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.
- UNeXt-pytorchmedical-imaging · unet · unet-image-segmentation
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
- Mobile-U-ViTunet · unet-pytorch
[ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
- deep-dicommedical-imaging · unet-pytorch
Preprocess and standardize DICOM data for deep learning applications in radiotherapy.
- api.github.com/repos/fepegar/unetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-12-13, 200 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/27.json→ .entries["unet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.