Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence

Machine learning has greatly facilitated the analysis of medical data, while the internal operations usually remain intransparent. To better comprehend these opaque procedures, a convolutional neural network for optical coherence tomography image segmentation was enhanced with a Traceable Relevance...

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Detalhes bibliográficos
Publicado no:Commun Biol
Main Authors: Maloca, Peter M., Müller, Philipp L., Lee, Aaron Y., Tufail, Adnan, Balaskas, Konstantinos, Niklaus, Stephanie, Kaiser, Pascal, Suter, Susanne, Zarranz-Ventura, Javier, Egan, Catherine, Scholl, Hendrik P. N., Schnitzer, Tobias K., Singer, Thomas, Hasler, Pascal W., Denk, Nora
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7864998/
https://ncbi.nlm.nih.gov/pubmed/33547415
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-021-01697-y
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