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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| 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 |