Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Diego S. Wanderley (Author) Other; Teresa Araújo (Author) Other; Catarina B. Carvalho (Author) Other; Carolina Maia (Author) Other; Susana Penas (Author) FMUP; Ângela Carneiro (Author) FMUP; Ana Maria Mendonça (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

Pages: 1-4

6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019

22 February 2019 through 23 February 2019

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-00Q-FWW

DOI: 10.1109/enbeng.2019.8692506

Abstract (EN): This study describes a novel dataset with retinal image quality annotation, defined by three different retinal experts, and presents an inter-observer analysis for quality assessment that can be used as gold-standard for future studies. A state-of-the-art algorithm for retinal image quality assessment is also analysed and compared against the specialists performance. Results show that, for 71% of the images present in the dataset, the three experts agree on the given image quality label. The results obtained for accuracy, specificity and sensitivity when comparing one expert against another were in the ranges [83.0 - 85.2]%, [72.7 - 92.9]% and [80.0 - 94.7]%, respectively. The evaluated automatic quality assessment method, despite not being trained on the novel dataset, presents a performance which is within inter-observer variability.

Language: English

Type (Professor's evaluation): Dissemination

No. of pages: 4