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

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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Bibliographic Details
Main Authors: Vidas Raudonis, Agne Paulauskaite-Taraseviciene, Kristina Sutiene
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
image fusion
multi-focus
embryo development
data reduction
deep learning
convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/21/3/863

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https://www.mdpi.com/1424-8220/21/3/863

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