Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei
The analysis of microscopic images from cell cultures plays an important role in the development of drugs. The segmentation of such images is a basic step to extract the viable information on which further evaluation steps are build. Classical image processing pipelines often fail under heterogeneou...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
De Gruyter
2020-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1515/cdbme-2020-3103 |
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