ctvlm
importedsoftware/ctvlm
Agentic radiology report generator for CT abdomen-pelvis · two vision encoders + MLP head · 220 RATE findings · auditable, deterministic, research-only
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/apyrros/ctvlm
- Documentation
- unknown
- Tags
- ai-medicine · ct-imaging · docker · huggingface · medical-imaging · merlin · radiology · report-generation · streamlit · vision-language-model
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- CLEARmedical-imaging · radiology · vision-language-model
CLEAR: an auditable foundation model for radiology grounded in clinical concepts
- MedInsightmedical-imaging · radiology · vision-language-model
Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.
- BOA-Contrastct-imaging · medical-imaging
Computes CT contrast phase and GI tract contrast using TotalSegmentator and ML
- CELMreport-generation
Official Code Repository of Clinical EEG Language Model (CELM): "Neural Signals Generate Clinical Notes in the Wild". arXiv:
- DICOM-to-JPEG-Convertermedical-imaging · vision-language-model
Convert DICOM medical images to JPEG for easy viewing, sharing, and AI model input (e.g. Google's MedGemma).
- MultiMedEvalmedical-imaging · vision-language-model
A Python tool to evaluate the performance of VLM on the medical domain.
- api.github.com/repos/apyrros/ctvlmretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-06-16, 13 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/23.json→ .entries["ctvlm"]
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