CheXPrune: sparse chest X-ray report generation model using multi-attention and one-shot global pruning

Automatic radiological report generation (ARRG) smoothens the clinical workflow by speeding the report generation task. Recently, various deep neural networks (DNNs) have been used for report generation and have achieved promising results. Despite the impressive results, their deployment remains cha...

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Detalles Bibliográficos
Autores principales: Kaur, Navdeep, Mittal, Ajay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628486/
https://www.ncbi.nlm.nih.gov/pubmed/36338854
http://dx.doi.org/10.1007/s12652-022-04454-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628486/
https://www.ncbi.nlm.nih.gov/pubmed/36338854
http://dx.doi.org/10.1007/s12652-022-04454-z

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