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- W2004675170 abstract "In this project a computational system of images analysis was developed based on machine learning techniques to aid the diagnosis in the optometry `area`, particularly, an objective and automatic system of ocular refraction errors measurement (astigmatism, hypermetropia and short-sightedness). The results of the work suggest a way to improve the images interpretation from the acquisition technique called Hartmann-Shack (HS) to allow that, later, other ocular problems are detected and measured. The work was realized in an image understanding `area` using Support Vector Machines (SVM). The motivation to investigate images learning techniques for the recognition and analysis of the images in this project was the search for a measurement system capable to interpret the content of the images as a whole, instead of measuring for the comparison of extracted discreet data of the image with extracted data of a reference image." @default.
- W2004675170 created "2016-06-24" @default.
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- W2004675170 date "2005-12-01" @default.
- W2004675170 modified "2023-09-26" @default.
- W2004675170 title "System Based on Computational Intelligence for Ophthalmology Image Understanding" @default.
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- W2004675170 doi "https://doi.org/10.1109/tla.2005.1642434" @default.
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