napari-DINOSim
importeddata/napari-dinosim
This repository provides DINOSim, a method that leverages the DINOv2 foundation model for zero-shot object detection and segmentation in bioimage analysis. DINOSim uses pretrained DINOv2 embeddings…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/AAitorG/napari-DINOSim
- Documentation
- unknown
- Tags
- biomedical-imaging · computer-vision · deep-learning · microscopy · pytorch
- Regulatory
- unknown
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Autonomous medical imaging AI research — bring any dataset, the agent runs experiments automatically. Built on karpathy/autoresearch.
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Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest…
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A medical imaging framework for Pytorch
- reproduce-chexnetcomputer-vision · pytorch
Reproduce CheXNet
- api.github.com/repos/AAitorG/napari-DINOSimretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-30, 14 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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