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ArtSeg—Artifact segmentation and removal in brightfield cell microscopy images without manual pixel-level annotations
Brightfield cell microscopy is a foundational tool in life sciences. The acquired images are prone to contain visual artifacts that hinder downstream analysis, and automatically removing them is therefore of great practical interest. Deep convolutional neural networks are state-of-the-art for image...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259686/ https://www.ncbi.nlm.nih.gov/pubmed/35794119 http://dx.doi.org/10.1038/s41598-022-14703-y |