Knowledge Graph-Enhanced Vision-to-Language Multimodal Models for Radiology Report Generation

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3 results

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  2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

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• The Unified Medical Language System (UMLS): integrating biomedical terminology

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• ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

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• CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

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  2,720

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• MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

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• Unifying Large Language Models and Knowledge Graphs: A Roadmap

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• Preparing a collection of radiology examinations for distribution and retrieval

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  1,170

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• Recent advances and clinical applications of deep learning in medical image analysis

  2022 Medical Image Analysis article Computer Science Medical Image Segmentation Techniques Open access

  1,080

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• ImageBind One Embedding Space to Bind Them All

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• PadChest: A large chest x-ray image dataset with multi-label annotated reports

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  702

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• Knowledge Graphs: Opportunities and Challenges

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• QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering

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• From Show to Tell: A Survey on Deep Learning-Based Image Captioning

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• Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

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  346

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• Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation

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• CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training

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• Show, tell and summarise: learning to generate and summarise radiology findings from medical images

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• KILM: Knowledge Injection into Encoder-Decoder Language Models

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  16

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• W3101156210

  details pending

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• W6600234944

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