Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

Machine learning-based imaging diagnostics has recently reached or even surpassed the level of clinical experts in several clinical domains. However, classification decisions of a trained machine learning system are typically non-transparent, a major hindrance for clinical integration, error trackin...

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Detalles Bibliográficos
Autores principales: Eitel, Fabian, Soehler, Emily, Bellmann-Strobl, Judith, Brandt, Alexander U., Ruprecht, Klemens, Giess, René M., Kuchling, Joseph, Asseyer, Susanna, Weygandt, Martin, Haynes, John-Dylan, Scheel, Michael, Paul, Friedemann, Ritter, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6807560/
https://www.ncbi.nlm.nih.gov/pubmed/31634822
http://dx.doi.org/10.1016/j.nicl.2019.102003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6807560/
https://www.ncbi.nlm.nih.gov/pubmed/31634822
http://dx.doi.org/10.1016/j.nicl.2019.102003

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