Fig. 1: UNet architecture improves particle segmentation compared to encoder–decoder architecture. | npj Computational Materials

Fig. 1: UNet architecture improves particle segmentation compared to encoder–decoder architecture.

From: Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images

Fig. 1

Segmentation results for UNet-type architecture on 512 × 512 resolution images. a Raw output from the model overlaid on the raw image; notice the sharp activation cutoff at the particle edges. b Threshold applied to image to show final segmentation result. Yellow arrows indicate small particles that were successfully recognized. Scale bar represents 50 nm.

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