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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images

Fig. 4

Segmentation examples for a colon tissue image (H3K9me3) depicting a high-grade dysplasia. Original test image (a) is segmented using (b) Mask R-CNN, (c) ANCIS and (d) StarDist network models. Training and testing were done on colon tissue data. Red arrows indicate False Positives, yellow arrows point out False Negatives, and pink and orange arrows indicate over- and under-segmentations, respectively

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BMC Bioinformatics

ISSN: 1471-2105

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