Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence
Maloca et al. implement convolutional neural network (CNN) to automatically segment OCT images obtained from cynomolgus monkeys. The results are compared to annotations generated by human graders. The ambiguity in ground truth had noteworthy impact on machine learning results, which could be visuali...
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| Asıl Yazarlar: | , , , , , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2021-02-01
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| Seri Bilgileri: | Communications Biology |
| Online Erişim: | https://doi.org/10.1038/s42003-021-01697-y |
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