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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864998/
https://www.ncbi.nlm.nih.gov/pubmed/33547415
http://dx.doi.org/10.1038/s42003-021-01697-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864998/
https://www.ncbi.nlm.nih.gov/pubmed/33547415
http://dx.doi.org/10.1038/s42003-021-01697-y

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