UNet-PyTorch
importedsoftware/unet-pytorch
PyTorch implementation of the 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/hayashimasa/UNet-PyTorch
- Documentation
- unknown
- Tags
- convolutional-neural-networks · deep-learning · image-segmentation · medical-imaging · pytorch
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- u-netconvolutional-neural-networks · image-segmentation · medical-imaging
U-Net: Convolutional Networks for Biomedical Image Segmentation
- angiodysplasia-segmentationimage-segmentation · medical-imaging · pytorch
Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
- BTSC-UNet-ViTimage-segmentation · medical-imaging · pytorch
🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…
- federated_heimage-segmentation · medical-imaging · pytorch
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…
- MISTimage-segmentation · medical-imaging · pytorch
MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
- QG-SSLimage-segmentation · medical-imaging · pytorch
[MICCAI '26 Early Accept] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
- api.github.com/repos/hayashimasa/UNet-PyTorchretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-05-06, 30 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/9.json→ .entries["unet-pytorch"]
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