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<b>TNM-Classifier</b>
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<b>Overview</b>
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TNM-Classifier is a model based on BERT designed to predict the TNM classification of cancer from radiology reports of lung cancer patients. This model is based on the NTCIR-17 MedNLP-SC Radiology Report Subtask (MedTxt-RR) and has been retrained using the corpus released in MedTxt-RR.
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This model is for the model in [this github](https://github.com/sociocom/TNM-Classifier-Tester).
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<b>Model Features</b>
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- **Model Architecture**: JMedRoBERTa (manbyo-wordpiece)
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- **Training Data**: MedTxt-RR corpus
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- **Use Case**: TNM classification of lung cancer (predicting tumor size, lymph node involvement, and distant metastasis)
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