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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...
Gorde:
| Argitaratua izan da: | Commun Biol |
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| Egile Nagusiak: | , , , , , , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group UK
2021
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| Gaiak: | |
| Sarrera elektronikoa: | 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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