R2Seg
importedsoftware/r2seg
Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- eurekashen.github.io/R2Seg/
- Repository
- github.com/Eurekashen/R2Seg
- Documentation
- unknown
- Tags
- false-positive-detection · llm · medical-image-segmentation · training-free
- 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.
- LLM4Segllm · medical-image-segmentation
[MICCAI 2025] Official code for "Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster"
Self-hosted, private family AI health steward. Multimodal AI structures health data into a person-centric profile with dashboard & AI consultation (Feishu/Lark integration). 开源可私有化部署的家庭 AI…
- alchemistllm
AI-powered medical transcription and assessment platform. Automates transcription and SOAP note generation for clinicians using Google Gemini.
- autozymellm
Autonomous multi-agent framework to optimize scientific software
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
Key SAP BTP components implemented in the proposed architecture of the BTP for Industries use cases.
- api.github.com/repos/Eurekashen/R2Segretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-29, 24 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/6.json→ .entries["r2seg"]
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