Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images

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

Use this link to cite:

http://hdl.handle.net/2183/23922

Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images

Files

P.L.Vidal_2019_Intraretinal_Fluid_Detection_by_Means_of_a_Densely_Connected_Convolutional_Neural_Network.pdf (1.71 MB)

Identifiers

URI: http://hdl.handle.net/2183/23922

DOI: 10.3390/proceedings2019021034

Publication date

2019-08-01

Authors

Vidal, Plácido

Moura, Joaquim de

Novo Buján, Jorge

Ortega Hortas, Marcos

Bibliographic citation

Vidal, P.L.; Moura, J.d.; Novo, J.; Ortega, M. Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images. Proceedings 2019, 21, 34. https://doi.org/10.3390/proceedings2019021034

Abstract

[Abstract] Hereby we present a methodology with the objective of detecting retinal fluid accumulations in between the retinal layers. The methodology uses a robust Densely Connected Neural Network to classify thousands of subsamples, extracted from a given Optical Coherence Tomography image. Posteriorly, using the detected regions, it satisfactorily generates a coherent and intuitive confidence map by means of a voting strategy.