The Use of Datasets of Bad Quality Images to Define Fundus Image Quality

Matteo Menolotto; Mario E. Giardini

doi:10.1109/EMBC48229.2022.9871614

The Use of Datasets of Bad Quality Images to Define Fundus Image Quality

Matteo Menolotto, Mario E. Giardini

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Screening programs for sight-threatening diseases rely on the grading of a large number of digital retinal images. As automatic image grading technology evolves, there emerges a need to provide a rigorous definition of image quality with reference to the grading task. In this work, on two subsets of the CORD database of clinically grad able and matching non-grad able digital retinal images, a feature set based on statistical and on task-specific morphological features has been identified. A machine learning technique has then been demonstrated to classify the images as per their clinical gradeability, offering a proxy for a rigorous definition of image quality.

Original language	English
Title of host publication	2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of Publication	Glasgow
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	504-507
Number of pages	4
ISBN (Electronic)	9781728127828
ISBN (Print)	9781728127835
DOIs	https://doi.org/10.1109/EMBC48229.2022.9871614
Publication status	Published - 8 Sept 2022
Event	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022: “Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care” - Glasgow, United Kingdom Duration: 11 Jul 2022 → 15 Jul 2022 Conference number: 44 https://embc.embs.org/2022/

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Publisher	IEEE
ISSN (Print)	2375-7477
ISSN (Electronic)	2694-0604

Conference

Conference	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Abbreviated title	EMBC 2022
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/22 → 15/07/22
Internet address	https://embc.embs.org/2022/

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC48229.2022.9871614Licence: CC BY

Final published versionFinal published version, 410 KBLicence: CC BY

Cite this

Menolotto, M., & Giardini, M. E. (2022). The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 504-507). (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC48229.2022.9871614

Menolotto, Matteo ; Giardini, Mario E. / The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Glasgow : Institute of Electrical and Electronics Engineers Inc., 2022. pp. 504-507 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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abstract = "Screening programs for sight-threatening diseases rely on the grading of a large number of digital retinal images. As automatic image grading technology evolves, there emerges a need to provide a rigorous definition of image quality with reference to the grading task. In this work, on two subsets of the CORD database of clinically grad able and matching non-grad able digital retinal images, a feature set based on statistical and on task-specific morphological features has been identified. A machine learning technique has then been demonstrated to classify the images as per their clinical gradeability, offering a proxy for a rigorous definition of image quality.",

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Menolotto, M & Giardini, ME 2022, The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. in 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., Glasgow, pp. 504-507, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/22. https://doi.org/10.1109/EMBC48229.2022.9871614

The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. / Menolotto, Matteo; Giardini, Mario E.
2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Glasgow: Institute of Electrical and Electronics Engineers Inc., 2022. p. 504-507 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Menolotto M, Giardini ME. The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Glasgow: Institute of Electrical and Electronics Engineers Inc. 2022. p. 504-507. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC48229.2022.9871614

The Use of Datasets of Bad Quality Images to Define Fundus Image Quality

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