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This model (2D U-Net) segments grayscale SEM images of graphene into binary masks of pixels that contain graphene (labelled 1) and pixels that do not contain graphene (labelled 0) (Uploaded via https://bioimage.io)
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tensorflow, deepimagej, bioimage.io:model, graphene, segmentation, bioimage.io, unet, scanning-electron-microscopy, cvd-graphene, 2d
tensorflow, deepimagej, bioimage.io:model, graphene, segmentation, bioimage.io, unet, scanning-electron-microscopy, cvd-graphene, 2d
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 20 | |
| downloads | 607 |

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