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...

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Detalles Bibliográficos
Autores principales: Ali, Mohammed A. S., Hollo, Kaspar, Laasfeld, Tõnis, Torp, Jane, Tahk, Maris-Johanna, Rinken, Ago, Palo, Kaupo, Parts, Leopold, Fishman, Dmytro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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