Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

OBJECTIVES: Deep learning has been proven to be able to stage liver fibrosis based on contrast-enhanced CT images. However, until now, the algorithm is used as a black box and lacks transparency. This study aimed to provide a visual-based explanation of the diagnostic decisions made by deep learning...

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Detalles Bibliográficos
Autores principales: Yin, Yunchao, Yakar, Derya, Dierckx, Rudi A. J. O., Mouridsen, Kim B., Kwee, Thomas C., de Haas, Robbert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589780/
https://www.ncbi.nlm.nih.gov/pubmed/34014382
http://dx.doi.org/10.1007/s00330-021-08046-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589780/
https://www.ncbi.nlm.nih.gov/pubmed/34014382
http://dx.doi.org/10.1007/s00330-021-08046-x

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