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17 April 2019 Extraction of numerical data from ophthalomological images and building a glaucoma prediction model
Insik Jo, Sejong Oh
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Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710T (2019) https://doi.org/10.1117/12.2520833
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore
Abstract
Visual Field (VF), as image data, is the spatial array of visual sensations available to observation in introspectionist psychological experiments. The retina, which surrounds the inner face of the eye, also consists of retinal nerve fiber layer and can be observed with Retina Nerve Fiver Layer (RNFL) Thickness data. They contain data obtained from Ophthalmologic diagnostic equipment. VF data is generally used to diagnose disease that occurs symptoms in the optic nerve and retina, such as glaucoma or macular degeneration etc. We should put the image data manually to develop a machine learning based diagnostic model so far. In this paper, we introduce how to extract numerical data we need automatically from images by using Optical Character recognizer(OCR) technology. Furthermore, we increased the recognition rates in this study, adding a function which detects errors on recognized numbers and corrects them. Based on this accumulated data, we built a glaucoma diagnostic model.
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Insik Jo and Sejong Oh "Extraction of numerical data from ophthalomological images and building a glaucoma prediction model", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710T (17 April 2019); https://doi.org/10.1117/12.2520833
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KEYWORDS
Data modeling
Optical character recognition
Visualization
Machine learning
Data storage
Diagnostics
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