Statistical comparison of classifiers applied to the interferential tear film lipid layer automatic classification.

Computational and Mathematical Methods in Medicine
B RemeseiroE Yebra-Pimentel

Abstract

The tear film lipid layer is heterogeneous among the population. Its classification depends on its thickness and can be done using the interference pattern categories proposed by Guillon. The interference phenomena can be characterised as a colour texture pattern, which can be automatically classified into one of these categories. From a photography of the eye, a region of interest is detected and its low-level features are extracted, generating a feature vector that describes it, to be finally classified in one of the target categories. This paper presents an exhaustive study about the problem at hand using different texture analysis methods in three colour spaces and different machine learning algorithms. All these methods and classifiers have been tested on a dataset composed of 105 images from healthy subjects and the results have been statistically analysed. As a result, the manual process done by experts can be automated with the benefits of being faster and unaffected by subjective factors, with maximum accuracy over 95%.

References

Jan 1, 1985·Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift für Augenheilkunde·M RolandoK R Kenyon
Jul 1, 1985·Journal of the Optical Society of America. A, Optics and Image Science·J G Daugman
Feb 25, 1999·Optometry and Vision Science : Official Publication of the American Academy of Optometry·P E King-SmithN Fogt
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Jan 16, 2010·IEEE Transactions on Pattern Analysis and Machine Intelligence·Juan Diego RodríguezJose Antonio Lozano

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Citations

Sep 26, 2015·Annals of Anatomy = Anatomischer Anzeiger : Official Organ of the Anatomische Gesellschaft·M H RingT Haslwanter
Jul 12, 2014·IEEE Journal of Biomedical and Health Informatics·Beatriz RemeseiroNoelia Sánchez-Maroño
May 15, 2013·Computer Methods and Programs in Biomedicine·B RemeseiroC García-Resúa
Aug 3, 2013·Experimental Eye Research·Soledad Benlloch-NavarroMaría Miranda
May 22, 2016·Computer Methods and Programs in Biomedicine·Beatriz RemeseiroManuel G Penedo
Apr 8, 2015·IEEE Journal of Biomedical and Health Informatics·Beatriz RemeseiroManuel G Penedo
Jul 1, 2016·Current Eye Research·Miguel Caixinha, Sandrina Nunes
Apr 16, 2013·Eye & Contact Lens·Athira RohitFiona Stapleton

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Software Mentioned

Lab
Topcon IMAGEnet i - base
Tearscope

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