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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

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