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Lesmes et al., 2019 - Google Patents

Active learning for visual acuity testing

Lesmes et al., 2019

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Document ID
16723425150440542882
Author
Lesmes L
Dorr M
Publication year
Publication venue
Proceedings of the 2nd International Conference on Applications of Intelligent Systems

External Links

Snippet

We present Quantitative Visual Acuity (qVA), a novel active learning algorithm to assess visual acuity. It uses Monte Carlo simulations and an information maximization strategy during stimulus selection, and Bayesian inference to iteratively update the best estimate of …
Continue reading at www.adaptivesensorytech.com (PDF) (other versions)

Classifications

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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
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    • G—PHYSICS
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    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
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