A method for semi-automatic grading of human blastocyst microscope images

• Published in: Human reproduction (Oxford) Vol. 27; no. 9; pp. 2641 - 2648
• Main Authors: Filho, E. Santos, Noble, J.A., Poli, M., Griffiths, T., Emerson, G., Wells, D.
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.09.2012
• Subjects: Algorithms; Automation; Biological and medical sciences; Blastocyst - cytology; Embryonic Development; Female; Fertilization in Vitro - methods; Fertilization in Vitro - standards; Fractals; Gynecology. Andrology. Obstetrics; Humans; Image Processing, Computer-Assisted; Medical sciences; Microscopy - methods; Reproductive Techniques, Assisted; Support Vector Machine; Zona Pellucida - pathology; IVF; embryo grading; computerized image analysis; image segmentation; Human; Embryo; Segmentation; Blastocyst; Assisted procreation; In vitro fertilization embryo transfer; Vertebrata; Image analysis; Mammalia

BACKGROUND The precise assessment of embryo viability is an extremely important factor for the optimization of IVF treatments. In order to assess embryo viability, several embryo scoring systems have been developed. However, they rely mostly on a subjective visual analysis of embryo morphological fe...