angiodysplasia-segmentation
importedsoftware/angiodysplasia-segmentation
Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
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
- Documentation
- unknown
- Tags
- computer-vision · deep-learning · image-segmentation · medical-imaging · python · 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.
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Computes vesselness scores for 3-dimensional images.
- 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…
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- QG-SSLimage-segmentation · medical-imaging · pytorch
[MICCAI '26 Early Accept] Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
- t-lossimage-segmentation · medical-imaging · pytorch
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
- api.github.com/repos/ternaus/angiodysplasia-segmentationretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2019-05-13, 80 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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