Automated quality assessment of retinal fundus photos

Paulus J, Meier J, Bock R, Hornegger J, Michelson G (2010)


Publication Type: Journal article, Original article

Publication year: 2010

Journal

Original Authors: Paulus J., Meier J., Bock R., Hornegger J., Michelson G.

Publisher: Springer Verlag (Germany)

Book Volume: 5

Pages Range: 557-564

Journal Issue: 6

DOI: 10.1007/s11548-010-0479-7

Abstract

Objective: Automated, objective and fast measurement of the image quality of single retinal fundus photos to allow a stable and reliable medical evaluation. Methods: The proposed technique maps diagnosis-relevant criteria inspired by diagnosis procedures based on the advise of an eye expert to quantitative and objective features related to image quality. Independent from segmentation methods it combines global clustering with local sharpness and texture features for classification. Results: On a test dataset of 301 retinal fundus images we evaluated our method on a given gold standard by human observers and compared it to a state of the art approach. An area under the ROC curve of 95.3% compared to 87.2% outperformed the state of the art approach. A significant p-value of 0.019 emphasizes the statistical difference of both approaches. Conclusions: The combination of local and global image statistics models the defined quality criteria and automatically produces reliable and objective results in determining the image quality of retinal fundus photos. © 2010 CARS.

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How to cite

APA:

Paulus, J., Meier, J., Bock, R., Hornegger, J., & Michelson, G. (2010). Automated quality assessment of retinal fundus photos. International Journal of Computer Assisted Radiology and Surgery, 5(6), 557-564. https://doi.org/10.1007/s11548-010-0479-7

MLA:

Paulus, Jan, et al. "Automated quality assessment of retinal fundus photos." International Journal of Computer Assisted Radiology and Surgery 5.6 (2010): 557-564.

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