Detection and segmentation of morphologically complex eukaryotic cells in fluorescence microscopy images via feature pyramid fusion

Detection and segmentation of macrophage cells in fluorescence microscopy images is a challenging problem, mainly due to crowded cells, variation in shapes, and morphological complexity. We present a new deep learning approach for cell detection and segmentation that incorporates previously learned...

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Detalles Bibliográficos
Autores principales: Korfhage, Nikolaus, Mühling, Markus, Ringshandl, Stephan, Becker, Anke, Schmeck, Bernd, Freisleben, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523959/
https://www.ncbi.nlm.nih.gov/pubmed/32898132
http://dx.doi.org/10.1371/journal.pcbi.1008179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523959/
https://www.ncbi.nlm.nih.gov/pubmed/32898132
http://dx.doi.org/10.1371/journal.pcbi.1008179

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