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A deep learning segmentation strategy that minimizes the amount of manually annotated images

2022-01-17

Abstract excerpt

Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this technology's good performance relies on large training datasets. In this paper, we present a strategy to minimize the amount of time spent in manually annotating images for segmentation. It involve...

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Literature Corpus work
2b642125-f770-51b4-92a1-cd9d0d03fde4
DOI
10.12688/f1000research.52026.2
Open publication

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A deep learning segmentation strategy that minimizes the amount of manually annotated imagesDOI 10.12688/f1000research.52026.2
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