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Automatic fundus image quality assessment on a ... - ScienceDirect
- https://www.sciencedirect.com/science/article/pii/S0010482520304455#:~:text=Most%20automated%20fundus%20image%20quality%20evaluation%20methods%20assign,which%20makes%20using%20two%20classes%20an%20inflexible%20approach.
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A review on automatic analysis techniques for color …
- https://www.sciencedirect.com/science/article/pii/S200103701630068X
- Pre-processing is a key issue in the automated analysis of color fundus photographs. The studies of Scanlon et al. [14] and Philip et al. [15] reported that 20.8% and 11.9% of the patients, respectively, had images from at least one eye that cannot be analyzed clinically because of insufficient image quality.
A Review on Automatic Analysis Techniques for Color …
- https://www.researchgate.net/publication/308999838_A_Review_on_Automatic_Analysis_Techniques_for_Color_Fundus_Photographs
- Fundus photography is a cost-effective and simple technique for. ... As the primary aim of the automatic retinal image analysis meth-ods is to …
Automatic fundus image quality assessment on a …
- https://pubmed.ncbi.nlm.nih.gov/33260100/
- The method utilizes random forest regression models trained on image features discovered automatically by combining basic image filters using simulated annealing as well as features extracted with the discrete Fourier transform. The method was developed and tested on images from two different fundus camera models.
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 …
Computer-aided Analysis of Fundus Photographs
- https://www.touchophthalmology.com/imaging/journal-articles/computer-aided-analysis-of-fundus-photographs/
- A more recent study, using automated analysis of digital fundus photographs with the RetmarkerDR software, confirms our initial observations and demonstrates that automated analysis of fundus digital images is extremely promising in determining DR progression. Furthermore, it is an easy to use non-invasive tool to predict development of CSME.
Automatic fundus image quality assessment on a
- https://www.sciencedirect.com/science/article/pii/S0010482520304455
- The frequency of poor quality images and variation of agreement between experts when evaluating image quality suggests that an automated method could improve the reliability and usefulness of fundus photography when diagnosing or monitoring disease. 1.1. Related work. Several methods for automatic evaluation of fundus image quality have been proposed.
An Automatic ROI of The Fundus Photography
- https://www.researchgate.net/publication/326367727_An_Automatic_ROI_of_The_Fundus_Photography
- This research proposed a threshold method of segmentation to determine ROI of the fundus photography automatically. Data to be elaborated were …
Automatic fundus image quality assessment on a …
- https://www.researchgate.net/publication/347562755_Automatic_fundus_image_quality_assessment_on_a_continuous_scale
- The method utilizes random forest regression models trained on image features discovered automatically by combining basic image filters using simulated annealing as …
A framework for automatic analysis of digital fundus …
- https://www.researchgate.net/publication/271555200_A_framework_for_automatic_analysis_of_digital_fundus_images
- The optic disc (OD), the blood vessels and the macula are the most important features in the retinal images. These features are used for automatic eye …
Automated quality evaluation of digital fundus …
- https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1755-3768.2008.01321.x
- cate that automatic evaluation of the quality of fundus photography is fea-sible. Such evaluation can be more accurate than visual inspection carried out by experienced observers in daily clinical practice in terms of distin-guishing between images of good and those of very good quality, which may be of clinical value if the images are
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