Automatic Blastomere Recognition from a Single Embryo Image
المؤلفون المشاركون
Duan, Fu-qing
Tian, Yun
Wang, Wei
Wang, Wei-zhou
Yin, Ya-bo
Zhou, Ming-Quan
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-14
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
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 based on least square curve fitting (LSCF) for automatic blastomere recognition from a single image.
First, combining edge detection, deletion of multiple connected points, and dilation and erosion, an effective preprocessing method was designed to obtain part of blastomere edges that were singly connected.
Next, an automatic recognition method for blastomeres was proposed using least square circle fitting.
This algorithm was tested on 381 embryo microscopic images obtained from the eight-cell period, and the results were compared with those provided by experts.
Embryos were recognized with a 0 error rate occupancy of 21.59%, and the ratio of embryos in which the false recognition number was less than or equal to 2 was 83.16%.
This experiment demonstrated that our method could efficiently and rapidly recognize the number of blastomeres from a single embryo image without the need to reconstruct the three-dimensional model of the blastomeres first; this method is simple and efficient.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tian, Yun& Yin, Ya-bo& Duan, Fu-qing& Wang, Wei-zhou& Wang, Wei& Zhou, Ming-Quan. 2014. Automatic Blastomere Recognition from a Single Embryo Image. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-486375
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tian, Yun…[et al.]. Automatic Blastomere Recognition from a Single Embryo Image. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-486375
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tian, Yun& Yin, Ya-bo& Duan, Fu-qing& Wang, Wei-zhou& Wang, Wei& Zhou, Ming-Quan. Automatic Blastomere Recognition from a Single Embryo Image. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-486375
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-486375
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر