Semantic filtering through deep source separation on microscopy images
By their very nature microscopy images of cells and tissues consist of a limited number of object types or components. In contrast to most natural scenes, the composition is known a priori. Decomposing biological images into semantically meaningful objects and layers is the aim of this paper. Buildi...
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| Format: | Conference item |
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Springer
2019
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