Improved Fundus Image Quality Assessment: Augmenting Traditional Features with Structure Preserving ScatNet Features in Multicolor Space

Manne, Shanmukh Reddy and Bashar, Sarforaz Bin and Vupparaboina, Kiran Kumar and Chhablani, Jay and Jana, Soumya (2021) Improved Fundus Image Quality Assessment: Augmenting Traditional Features with Structure Preserving ScatNet Features in Multicolor Space. In: Proceedings - 2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020, 1 March 2021 - 3 March 2021.

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Abstract

High quality fundus photographs (FPs) are essential for clinicians to make accurate diagnosis of various ophthalmic diseases, including diabetic retinopathy, age-related macular degeneration, and glaucoma. Thus it becomes imperative that clinicians are presented with FPs, whose high diagnostic quality is assured. In this context, significant effort has been directed at developing automated tools that distinguish between high quality and low quality FPs. For this purpose, features suited to natural image quality assessment were traditionally employed even for diagnostic quality assessment of FPs. However, structure preserving features generated by deep scattering network (ScatNet) were recently reported to outperform aforementioned traditional features. In this paper, we demonstrate further improvement in performance by combining both the traditional features and ScatNet features. Importantly, additional improvement is witnessed when ScatNet features are computed in multicolor space.

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IITH Creators:

IITH Creators	ORCiD
Manne, Shanmukh Reddy	UNSPECIFIED
Bashar, Sarforaz Bin	UNSPECIFIED
Vupparaboina, Kiran Kumar	UNSPECIFIED
Chhablani, Jay	UNSPECIFIED
Jana, Soumya	UNSPECIFIED

Item Type:

Conference or Workshop Item (Paper)

Uncontrolled Keywords:

Age-related macular degeneration; Automated tools; Diabetic retinopathy; Diagnostic quality; Fundus photographs; Natural images; Scattering networks; Structure-preserving;Biomedical engineering; Diagnosis; Eye protection; Image enhancement; Ophthalmology

Subjects:

Electrical Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

22 Jul 2021 06:57

Last Modified:

22 Jul 2021 06:57

URI:

http://raiithold.iith.ac.in/id/eprint/8461

Publisher URL:

http://doi.org/10.1109/IECBES48179.2021.9398757