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Automated Quality Evaluation Of Digital Fundus Photography

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Automated quality evaluation of digital fundus photographs

    https://pubmed.ncbi.nlm.nih.gov/19719806/#:~:text=Automated%20quality%20evaluation%20of%20digital%20fundus%20photographs%20Abstract,patients%20with%20diabetes%2C%20glaucoma%20or%20age-related%20macular%20degeneration.
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Automated quality evaluation of digital fundus photographs

    https://pubmed.ncbi.nlm.nih.gov/19719806/
    The clinical usefulness of an image is highly dependent on its quality. We set out to develop and evaluate an automatic method of evaluating the quality of digital fundus photographs. Methods: A method for making a numerical quantification of image sharpness and illumination was developed using Matlab image analysis functions. Based on their sharpness and illumination …

Automated quality evaluation of digital fundus …

    https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1755-3768.2008.01321.x
    Purpose: Retinal images acquired by means of digital photography are often used for evaluation and documentation of the ocular fundus, especially in patients with diabetes, glaucoma or age-related macular degeneration. The clinical usefulness of an image is highly dependent on its quality. We set out to develop and evaluate an automatic method of evaluating the quality of …

Automated quality evaluation of digital fundus photographs

    https://onlinelibrary.wiley.com/doi/full/10.1111/j.1755-3768.2008.01321.x
    The automated quality evaluation (AQE) method was developed using tools for image analysis available in the Matlab R2007a™ (MathWorks Inc., Natick, MA, USA) toolbox. Image sharpness and illumination were selected as quality‐defining image properties. The actual analysis was performed in the following steps.

Automated quality evaluation of digital fundus photographs

    https://www.researchgate.net/publication/26779526_Automated_quality_evaluation_of_digital_fundus_photographs
    The clinical usefulness of an image is highly dependent on its quality. We set out to develop and evaluate an automatic method of evaluating the quality of digital fundus photographs. A …

Automated quality evaluation of digital fundus photographs.

    https://wwww.unboundmedicine.com/medline/citation/19719806/Automated_quality_evaluation_of_digital_fundus_photographs_
    We set out to develop and evaluate an automatic method of evaluating the quality of digital fundus photographs. METHODS A method for making a numerical quantification of image sharpness and illumination was developed using Matlab image analysis functions.

Automated quality evaluation of digital fundus photographs.

    https://europepmc.org/article/MED/19719806
    Retinal images acquired by means of digital photography are often used for evaluation and documentation of the ocular fundus, especially in patients with diabetes, glaucoma or age-related macular degeneration. The clinical usefulness of an image is highly dependent on its quality. We set out to develop and evaluate an automatic method of …

Automated quality evaluation of digital fundus photographs

    https://www.semanticscholar.org/paper/Automated-quality-evaluation-of-digital-fundus-Bartling-Wanger/4addb2c42ae6e8bd81efe091c5ee045f71ae74b8
    An automatic method of evaluating the quality of digital fundus photographs is developed and evaluated for evaluation and documentation of the ocular fundus in patients with diabetes, glaucoma or age‐related macular degeneration.

Quality evaluation of digital fundus images through …

    https://pubmed.ncbi.nlm.nih.gov/26158021/
    Quality evaluation of digital fundus images through combined measures The evaluation of image quality is an important step before an automatic analysis of retinal images.

Quality evaluation of digital fundus images ... - SPIE Digital Library

    https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-1/issue-1/014001/Quality-evaluation-of-digital-fundus-images-through-combined-measures/10.1117/1.JMI.1.1.014001.short
    A method to classify fundus images as low or good quality is presented. The method starts with the detection of regions of uneven illumination and evaluates if the segmented noise masks affect a clinically relevant area (around the macula). Afterwards, focus is evaluated through a fuzzy classifier.

Automatic fundus image quality assessment on a …

    https://dlnext.acm.org/doi/10.1016/j.compbiomed.2020.104114
    Abstract Fundus photography is commonly used for screening, diagnosis, and monitoring of various diseases affecting the eye. ... Highlights • Good fundus image quality is important if diagnosis is to be accurate and timely. • The method automatically grades fundus image quality on a continuous scale. • Features are discovere...

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