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README.md
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- text: "Small bilateral cervical [MASK] with unusual distribution."
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example_title: "Example 3"
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# Background
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This model was built on Microsoft's BERT trained on PubMed uncased database (`microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext`). A number of (~500) radiology reports for staging nasopharyngeal carcinoma (NPC) written in our center by board-certified radiologist were retrospectively retrieved with ethics approval . To focus on NPC, incidental findings and unrelated observations are removed prior to training. In addition, the abbreviations for structures were replaced by the original words to facilitate the model of learning suffixes and prefixes that might indicate geographical locations (e.g. L neck -> left neck, IJC -> internal jugular chain).
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- text: "Small bilateral cervical [MASK] with unusual distribution."
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example_title: "Example 3"
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---
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# **IMPORTANT**
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**This is an outdated model, please see my [space](https://huggingface.co/spaces/mlwong/npc-bert-demo) for a more updated version.**
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# Background
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This model was built on Microsoft's BERT trained on PubMed uncased database (`microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext`). A number of (~500) radiology reports for staging nasopharyngeal carcinoma (NPC) written in our center by board-certified radiologist were retrospectively retrieved with ethics approval . To focus on NPC, incidental findings and unrelated observations are removed prior to training. In addition, the abbreviations for structures were replaced by the original words to facilitate the model of learning suffixes and prefixes that might indicate geographical locations (e.g. L neck -> left neck, IJC -> internal jugular chain).
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