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Unsupervised corneal contour extraction algorithm with shared model for dynamic deformation videos: improving accuracy and noise resistance

Autor: Zuoping Tan, Xuan Chen, Qiang Xu, Can Yang, Xiaomin Lin, Yan Huo, Mohammad Alzogool, Riwei Wang, Yan Wang

Publikováno v: BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-14 (2024)

Abstract Background In this study, an automatic corneal contour extraction algorithm with a shared model is developed to extract contours from dynamic corneal videos containing noise, which improves the accuracy of corneal biomechanical evaluation an

Externí odkaz: https://doaj.org/article/857cb6470a054caaa0ceb8e03a2f83e2

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[GSH fermentation process modeling using entropy-criterion based RBF neural network model]

Autor: Zuoping, Tan, Shitong, Wang, Zhaohong, Deng, Guocheng, Du

Publikováno v: Sheng wu gong cheng xue bao = Chinese journal of biotechnology. 24(5)

The prediction accuracy and generalization of GSH fermentation process modeling are often deteriorated by noise existing in the corresponding experimental data. In order to avoid this problem, we present a novel RBF neural network modeling approach b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::424aeca1e7d5e0be8489dceeb4e3e636
https://pubmed.ncbi.nlm.nih.gov/18724704

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