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

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

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, the algorithm to be developed should process a large number of image data of different quality in a reasonable amount of time.

Authors

  • Vidas Raudonis
    Department of Automation, Kaunas University of Technology, 51367, Kaunas, Lithuania.
  • Agne Paulauskaite-Taraseviciene
    Department of Applied Informatics, Kaunas University of Technology, 51368, Kaunas, Lithuania.
  • Kristina Sutiene
    Department of Mathematical Modelling, Kaunas University of Technology, 51368, Kaunas, Lithuania. kristina.sutiene@ktu.lt.