TNM-Classifier
Overview
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. This model is for the model in this github.
Model Features
- Model Architecture: JMedRoBERTa (manbyo-wordpiece)
- Training Data: MedTxt-RR corpus
- Use Case: TNM classification of lung cancer (predicting tumor size, lymph node involvement, and distant metastasis)
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