Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma

BACKGROUND: Transfer learning is a common practice in image classification with deep learning where the available data is often limited for training a complex model with millions of parameters. However, transferring language models requires special attention since cross-domain vocabularies (e.g. bet...

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Detalles Bibliográficos
Autores principales: Tariq, Amara, Kallas, Omar, Balthazar, Patricia, Lee, Scott Jeffery, Desser, Terry, Rubin, Daniel, Gichoya, Judy Wawira, Banerjee, Imon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867666/
https://www.ncbi.nlm.nih.gov/pubmed/35197110
http://dx.doi.org/10.1186/s13326-022-00262-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867666/
https://www.ncbi.nlm.nih.gov/pubmed/35197110
http://dx.doi.org/10.1186/s13326-022-00262-8

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