Impaired decidualization of human endometrial stromal cells from women with adenomyosis†.
Impaired decidualization of human endometrial stromal cells from women with adenomyosis†.
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DOI：
10.1093/biolre/ioab017
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发表时间：
2021-05-07
影响因子：
3.6
通讯作者：
Xu C
中科院分区：
文献类型：
--
作者：
Peng Y;Jin Z;Liu H;Xu C
为了将机器学习技术用于早期圆锥角膜诊断，研究人员旨在从Corvis st生成的检查图像中找到并建模角膜生物力学特征的表示，并使用图像片段识别前路数据并将其转换为向量，用于表示和表示表观后表面、表观厚度以及图像中表观前路数据的组成。链接（批处理图像）并使用小波简化，向量也被安排为二维直方图，用于神经网络的深度学习。评分的区间为0.7843至1，显著性水平为0.0157，分类在尽可能敏感的同时也尽可能精确地获得分数。为了训练和验证来自欧洲和伊拉克检查基地的一到四级使用的数据，研究人员查看了686只健康眼睛和406只患有斜视角膜的眼睛的数据。欧洲数据库发现，使用4级小波快速处理的批处理图像的视厚测量准确率最高，得分为0.8247，灵敏度为89.49%，特异性为92.09%。这是一个二维直方图的明显厚视，评分为0.8361，这表明它的敏感性为88.58%，特异性为94.389%。根据研究结果，圆锥角膜可以通过生物力学模型进行诊断。
For machine learning techniques to be used in early keratoconus diagnosis, researchers aimed to find and model representations of corneal biomechanical characteristics from exam images generated by the Corvis ST. Image segments were used to identify and convert anterior data into vectors for representation and representation of apparent posterior surfaces, apparent pachymetry, and the composition of apparent anterior data in images. Chained (batch images) and simplified with wavelet, the vectors were also arranged as 2D histograms for deep learning use in a neural network. An interval of 0.7843 to 1 and a significance level of 0.0157 were used in the scoring, with the classifications getting points for being as sensitive as they could be while also being as precise as they could be. In order to train and validate the used data from examination bases in Europe and Iraq, in grades I to IV, researchers looked at data from 686 healthy eyes and 406 keratoconus-afflicted eyes. With a score of 0.8247, sensitivity of 89.49%, and specificity of 92.09%, the European database found that apparent pachymetry from batch images applied with level 4 wavelet and processed quickly had the highest accuracy. This is a 2D histogram of apparent pachymetry with a score of 0.8361, which indicates that it is 88.58 percent sensitive and 94.389% specific. According to the findings, keratoconus can be diagnosed using biomechanical models.
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影响因子：
82.9
作者：
Cha J;Sun X;Dey SK
通讯作者：
Dey SK
影响因子：
6.7
作者：
Fischer, Catha P.;Kayisili, Umit;Taylor, Hugh S.
通讯作者：
Taylor, Hugh S.
影响因子：
3.8
作者：
Bischof, P;Meisser, A;Tseng, L
通讯作者：
Tseng, L
影响因子：
6
作者：
Berneau, Stephane C.;Ruane, Peter T.;Aplin, John D.
通讯作者：
Aplin, John D.
影响因子：
2.2
作者：
Jafarinia, Morteza;Sadeghi, Erfan;Jahanbani-Ardakani, Hamidreza
通讯作者：
Jahanbani-Ardakani, Hamidreza