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Corneal ectasia detection by epithelial pattern standard deviation from OCT

Journal of Cataract & Refractive Surgery, 2023
Purpose: To test the ability of the corneal epithelial pattern standard deviation (PSD) to distinguish between normal and cases with corneal ectatic condition. Setting: Instituto de Olhos Renato Ambrósio, Rio de Janeiro, Brazil.
Marcella Q. Salomão   +10 more
openaire   +2 more sources

Pattern-Search-Based Algorithm for Ground-Motion Selection with Targeted Mean and Standard Deviation

International Journal of Steel Structures, 2021
Ground-motion selection is essential as an input for dynamic structural analyses. Although recent studies have highlighted the importance of target variance as auxiliary criteria and introduced selection methods, they typically require a trade-off between computational expense and accuracy.
Gifari Zulkarnaen, Young K. Ju
openaire   +1 more source

Use of Pattern Standard Deviation Instead of Corrected Pattern Standard Deviation in Andersonʼs Criteria

Journal of Glaucoma, 2000
To determine whether the use of pattern standard deviation instead of corrected pattern standard deviation, as part of Anderson's criteria, makes a difference in categorizing a single field printout using the full threshold strategy on the Humphrey's Field Analyzer.Forty-eight patients with glaucomatous field defects of varying severity underwent full ...
R, Thomas, P, Paul, J, Muliyil
openaire   +2 more sources

Iris pattern extraction using bit planes and standard deviations

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005
Iris recognition has been shown to be very accurate for human identification. In this paper, we develop a technique for iris pattern extraction utilizing the least significant bit-plane: the least significant bit of every pixel in the image. Through binary morphology applied to the bit-plane, the pupillary boundary of the iris is determined. The limbic
B. Bonney   +3 more
openaire   +1 more source

Standard deviations of degree differences as indicators of mixing patterns in complex networks

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013
Mixing patterns in social networks can give us important clues about the structure and functionality of these networks. In the past, a number of measures including variants of assortativity have been used to quantify degree mixing patterns of networks.
Gnana Thedchanamoorthy   +2 more
openaire   +1 more source

Local Mean and Pattern Standard Deviation Map for Disease Staging in Glaucoma

2023
AbstractFor monitoring disease progression in glaucoma, perimetric measurements as global indices such as the mean deviation and standard pattern deviation for the visual field perimetry do not maintain a consistent diagnostic sensitivity over the entire data range.
openaire   +1 more source

Input Pattern According to Standard Deviation of Backpropagation Neural Network: Influence on Accuracy of Soil Moisture Retrieval

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it is known that an ANN will function well as long as the pattern of the input data is similar to the testing data, there has been no research on the effect of data "similarity" on the accuracy of the network outputs.
Soo-See Chai   +3 more
openaire   +1 more source

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