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TNM-Classifier
sociocom/TNM-Classifier
TNM-Classifier is a machine learning model from sociocom. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Sep 29, 2024
- Updated
- Sep 30, 2024
- SHA
- 3ccd6ac9
Model card
From the Hugging Face model README
<b>TNM-Classifier</b>
<b>Overview</b>
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.
<b>Model Features</b>
- 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)
- Type
- bert
- Created
- Sep 29, 2024
- Updated
- Sep 30, 2024