rgrg
importedsoftware/rgrg
Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"
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/ttanida/rgrg
- Documentation
- unknown
- Tags
- deep-learning · medical-imaging · natural-language-generation · object-detection · radiology
- 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.
- NRCnatural-language-generation
Natural language generation for discrete data in EHRs
- DentalDiagnosisToolsmedical-imaging · object-detection
An AI Powered Platform for Dental Diagnosis
- rsna-2024-lumbar-spinemedical-imaging · object-detection
Silver Medal Solution for the Kaggle Competition: RSNA 2024 Lumbar Spine Degenerative Classification
- xai_thyroidmedical-imaging · object-detection
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
- fetalnavobject-detection
Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)
- Brain_Tumor_Detection_Prototypemedical-imaging · radiology
A research prototype for brain MRI segmentation, classification, and VLM-assisted analysis. Includes interactive segmentation-mask editing/export and NIFTI volume viewing with segmentation. Built…
- api.github.com/repos/ttanida/rgrgretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-23, 214 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/49.json→ .entries["rgrg"]
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