--- {} --- 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](https://github.com/sociocom/TNM-Classifier-Tester). 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)