A convolutional neural network segments yeast microscopy images with high accuracy

The identification of cell borders (‘segmentation’) in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit irregular features. We present a convolutiona...

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Detalles Bibliográficos
Autores principales: Dietler, Nicola, Minder, Matthias, Gligorovski, Vojislav, Economou, Augoustina Maria, Joly, Denis Alain Henri Lucien, Sadeghi, Ahmad, Chan, Chun Hei Michael, Koziński, Mateusz, Weigert, Martin, Bitbol, Anne-Florence, Rahi, Sahand Jamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665014/
https://www.ncbi.nlm.nih.gov/pubmed/33184262
http://dx.doi.org/10.1038/s41467-020-19557-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665014/
https://www.ncbi.nlm.nih.gov/pubmed/33184262
http://dx.doi.org/10.1038/s41467-020-19557-4

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