Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images

Otero, Iago; Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos

Use this link to cite:

http://hdl.handle.net/2183/23923

Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images

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I.Otero_2019_Automatic_Tool_for_the_Detection,_Characterization_and_Intuitive_Visualization_of_Macular_Edema_Regions.pdf (784.49 KB)

Identifiers

URI: http://hdl.handle.net/2183/23923

DOI: 10.3390/proceedings2019021036

Publication date

2019-08-01

Authors

Otero, Iago

Vidal, Plácido

Moura, Joaquim de

Novo Buján, Jorge

Ortega Hortas, Marcos

Bibliographic citation

Otero, I.; Vidal, P.L.; Moura, J.d.; Novo, J.; Ortega, M. Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images. Proceedings 2019, 21, 36. https://doi.org/10.3390/proceedings2019021036

Abstract

[Abstract] The methodology presented in this paper aims to detect pathological regions affected by one or more of the three clinically defined types of Diabetic Macular Edema (DME). Using representative samples extracted from Optical Coherence Tomography (OCT) images, three representative classifiers are trained to analyze new input images and create an intuitive visualization of the detection results. The trained models provided a satisfactory performance for all three defined types of DME, and the visual feedback can effectively assists clinical experts in the diagnosis of this representative and extended disease.