Fast Multi-Focus Fusion Based on Deep Learning for Early-Stage Embryo Image Enhancement

Background: Cell detection and counting is of essential importance in evaluating the quality of early-stage embryo. Full automation of this process remains a challenging task due to different cell size, shape, the presence of incomplete cell boundaries, partially or fully overlapping cells. Moreover...

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Detalles Bibliográficos
Autores principales: Raudonis, Vidas, Paulauskaite-Taraseviciene, Agne, Sutiene, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865517/
https://www.ncbi.nlm.nih.gov/pubmed/33525420
http://dx.doi.org/10.3390/s21030863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865517/
https://www.ncbi.nlm.nih.gov/pubmed/33525420
http://dx.doi.org/10.3390/s21030863

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