RadNLP is an AI workshop to aid radiology with natural language processing (NLP) by providing open data and challenging benchmarks. 日本語アカウントはこちら→@radnlp_jasociocom.naist.jp/radnlp-2024/Joined March 2024
📣 Update on RadNLP website
We updated Sub Task description on the #RadNLP 2024 shared task website!
sociocom.naist.jp/radnlp-2024/
RadNLP 2024 is a biomedical AI/NLP workshop using open radiology reports.
Sub Task is a document segmentation to find spans on the topic basis.
📣 Update on RadNLP website
We published FAQ on the #RadNLP 2024 shared task website!
sociocom.naist.jp/radnlp-2024/
RadNLP 2024 is an AI / biomedical NLP workshop using open Japanese & English radiology reports.
We welcome any questions via the contact address on our website!
📣 Announcement on subtask
#RadNLP 2024 invites you to participate in one or both of the following tasks!
- Main task: lung cancer staging using radiology reports
- Sub task: sentence classification
Visit our website for more details:
sociocom.naist.jp/radnlp-2024/
📣 Registration is open now
#RadNLP 2024 has opened the registration period!
To participate in our shared task/AI workshop, visit the website below and access the online registration form:
sociocom.naist.jp/radnlp-2024/
📣 Announcement for English/Japanese tracks
RadNLP 2024 shared task runs two tracks:
- 🇺🇸 English track uses English radiology reports
- 🇯🇵 Japanese track uses Japanese radiology reports
You are welcome to join either or both tracks!
sociocom.naist.jp/radnlp-2024
RadNLP (Natural Language Processing for Radiology) shared task has launched an X/Twitter official account!
RadNLP is a shared task focusing on the application of natural language processing in radiology. We prepare tasks, publish dataset, and call for solutions broadly
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