Artificial intelligence techniques for embryo and oocyte classification

REPRODUCTIVE BIOMEDICINE ONLINE

卷:26

Article

Manna, Claudio^1,2  Nanni, Loris³  Lumini, Alessandra⁴  Pappalardo, Sebastiana¹ 

[1] Ctr Studi GENESIS Jr Srl, I-00198 Rome, Italy

[2] Univ Roma Tor Vergata, Dipartimento Biomed & Prevenz, I-00133 Rome, Italy

[3] Univ Padua, Dept Informat Engn, I-35131 Padua, Italy

[4] Univ Bologna, DEIS, I-47023 Cesena, Italy

关键词: assisted reproduction technology;    embryo selection;    machine learning techniques;    neural networks;    oocyte selection;    texture analysis;   

DOI  :  10.1016/j.rbmo.2012.09.015

来源: Elsevier

【 摘 要 】

One of the most relevant aspects in assisted reproduction technology is the possibility of characterizing and identifying the most viable oocytes or embryos. In most cases, embryologists select them by visual examination and their evaluation is totally subjective. Recently, due to the rapid growth in the capacity to extract texture descriptors from a given image, a growing interest has been shown in the use of artificial intelligence methods for embryo or oocyte scoring/selection in IVF programmes. This work concentrates the efforts on the possible prediction of the quality of embryos and oocytes in order to improve the performance of assisted reproduction technology, starting from their images. The artificial intelligence system proposed in this work is based on a set of Levenberg-Marquardt neural networks trained using textural descriptors (the local binary patterns). The proposed system was tested on two data sets of 269 oocytes and 269 corresponding embryos from 104 women and compared with other machine learning methods already proposed in the past for similar classification problems. Although the results are only preliminary, they show an interesting classification performance. This technique may be of particular interest in those countries where legislation restricts embryo selection. RBMOnline (C) 2012, Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

【 授权许可】

Free