Parameter-Efficient Methods for Metastases Detection fromClinical Notes

Author:

Barabadi Maede Ashofteh1,Zhu Xiaodan1,Chan Wai Yip1,Simpson Amber L.1,Do Richard K.G.2

Affiliation:

1. Queen’s University, Kingston, Canada

2. Memorial Sloan Kettering Cancer Center, New York, USA

Publisher

PubPub

Subject

General Medicine,Linguistics and Language,Language and Linguistics,Education,General Decision Sciences,Public Health, Environmental and Occupational Health,Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,Education,General Medicine,General Medicine,General Physics and Astronomy,Cell Biology,Plant Science,Molecular Biology,Biochemistry,Biotechnology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

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