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Automatic Blastomere Recognition from a Single Embryo Image 원문보기

Computational and mathematical methods in medicine : CMMM, v.2014, 2014년, pp.628312 -   

Tian, Yun (College of Information Science and Technology, BNU, Beijing 100875, China) ,  Yin, Ya-bo (College of Information Science and Technology, BNU, Beijing 100875, China) ,  Duan, Fu-qing (College of Information Science and Technology, BNU, Beijing 100875, China) ,  Wang, Wei-zhou (Assisted Reproductive Medical Center, Navy General Hospital, Beijing 100048, China) ,  Wang, Wei (Obstetrics and Gynecology Department, Navy General Hospital, Beijing 100048, China) ,  Zhou, Ming-quan (College of Information Science and Technology, BNU, Beijing 100875, China)

Abstract AI-Helper 아이콘AI-Helper

The number of blastomeres of human day 3 embryos is one of the most important criteria for evaluating embryo viability. However, due to the transparency and overlap of blastomeres, it is a challenge to recognize blastomeres automatically using a single embryo image. This study proposes an approach b...

참고문헌 (19)

  1. 1 Dennis SJ Thomas MA Williams DB Robins JC Embryo morphology score on day 3 is predictive of implantation and live birth rates Journal of Assisted Reproduction and Genetics 2006 23 4 171 175 16758347 

  2. 2 Baxter Bendus AE Mayer JF Shipley SK Catherino WH Interobserver and intraobserver variation in day 3 embryo grading Fertility and Sterility 2006 86 6 1608 1615 17074349 

  3. 3 Manna C Nanni L Lumini A Artificial intelligence techniques for embryo and oocyte classification Reproductive BioMedicine Online 2013 26 1 42 49 23177416 

  4. 4 Santos Filho E Noble JA Wells D A review on automatic analysis of human embryo microscope images The Open Biomedical Engineering Journal 2010 4 170 177 21379391 

  5. 5 Connie CW Kevin EL Nancy LB Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage Nature Biotechnology 2010 28 10 1115 1124 

  6. 6 Siristatidis C Pouliakis A Chrelias C Artificial intelligence in IVF: a need Systems Biology in Reproductive Medicine 2011 57 4 179 185 21375363 

  7. 7 Paternot G Debrock S de Neubourg D Semi-automated morphometric analysis of human embryos can reveal correlations between total embryo volume and clinical pregnancy Human Reproduction 2013 28 3 627 633 23315063 

  8. 8 van Royen E Mangelschots K de Neubourg D Characterization of a top quality embryo, a step towards single-embryo transfer Human Reproduction 1999 14 9 2345 2349 10469708 

  9. 9 Desai NN Goldstein J Rowland YD Morphological evaluation of human embryos and derivation of an embryo quality scoring system specific for day 3 embryos: a preliminary study Human Reproduction 2000 15 10 2190 2196 11006197 

  10. 10 Giusti A Corani G Gambardella L Blastomere segmentation and 3d morphology measurements of early embryos from hoffman modulation contrast image stacks Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2010 1261 1264 

  11. 11 Pedersen UD Olsen OF Olsen HN A multiphase variational level set approach for modelling human embryos Proceedings of the 2nd IEEE Workshop on Variational, Geometric and Level Set Methods 2003 25 32 

  12. 12 Ning F Delhomme D LeCun Y Toward automatic phenotyping of developing embryos from videos IEEE Transactions on Image Processing 2005 14 9 1360 1371 16190471 

  13. 13 Santos Filho E Noble A J Poli M A method for semi-automatic grading of human blastocyst microscope images Human Reproduction 2012 27 9 2641 2648 22736327 

  14. 14 Morales DA Bengoetxea E Larrañaga P Bayesian classification for the selection of in vitro human embryos using morphological and clinical data Computer Methods and Programs in Biomedicine 2008 90 2 104 116 18190996 

  15. 15 Hnida C Engenheio E Ziebe S Computer-controlled, multilevel, morphometric analysis of blastomere size as biomarker of fragmentation and multinuclearity in human embryos Human Reproduction 2004 19 2 288 293 14747169 

  16. 16 Uyar A Bener A Ciray H A frequency based encoding technique for transformation of categorical variables in mixed IVF dataset Proceedings of 31st Annual International Conference of the IEEE EMBS 2009 6214 6217 

  17. 17 Braude P Selecting the “best” embryos: prospects for improvement Reproductive BioMedicine Online 2013 27 6 644 653 24145119 

  18. 18 Machtinger R Racowsky C Morphological systems of human embryo assessment and clinical evidence Reproductive BioMedicine Online 2013 26 3 210 221 23352813 

  19. 19 Kerbyson DJ Atherton TJ Circle detection using Hough transform filters Proceedings of the 5th International Conference on Image Processing and Its Applications 1995 370 374 

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