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Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines
High quality radiology reporting of chest X-ray images is of core importance for high-quality patient diagnosis and care. Automatically generated reports can assist radiologists by reducing their workload and even may prevent errors. Machine Learning (ML) models for this task take an X-ray image as...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629217/ https://www.ncbi.nlm.nih.gov/pubmed/34843509 http://dx.doi.org/10.1371/journal.pone.0259639 |