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ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Banerjee, Oishi, Saenz, Agustina, Wu, Kay, Clements, Warren, Zia, Adil, Buensalido, Dominic, Kavnoudias, Helen, Abi-Ghanem, Alain S., Ghawi, Nour El, Luna, Cibele, Castillo, Patricia, Al-Surimi, Khaled, Daghistani, Rayyan A., Chen, Yuh-Min, Chao, Heng-sheng, Heiliger, Lars, Kim, Moon, Haubold, Johannes, Jonske, Frederic, Rajpurkar, Pranav
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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