awesome-radiology-report-generation
github.com/clearloveyuan/awesome-radiology-report-generation ↗Paper List about Radiology Report Generation and also some medical image captioning
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GitHub Stars
39
Curated Resources
3
Categories
2 hours ago
Last Refreshed
PapersDatasetPopular Implementations
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2019 resources from awesome-radiology-report-generation"
Installation instructions →What's inside
Papers
- Addressing data bias problems for chest x-ray image report generation2019
Harzig P et al,
- A Self-boosting Framework for Automated Radiographic Report Generation2021
- A Survey on Biomedical Image CaptioningSurvey
Kougia V et al,
- Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network2019
Yin et al,
- Automatic radiology report generation based on multi-view image fusion and medical concept enrichment2019
Yuan et al,
- Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment2019
Popular Implementations
- cuhksz-nlp/R2GenPyTorch
Dataset
- MIMIC-CXR: a large publicly available database of labeled chest radiographs
Johnson A E W et al,
- Padchest: A large chest x-ray image dataset with multi-label annotated reports
Bustos A et al,
- Preparing a collection of radiology examinations for distribution and retrieval
Demner-Fushman D et al,
Showing a sample of 39 resources. View the full list on GitHub →