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

Vidal, PlácidoMoura, Joaquim deNovo Buján, JorgeOrtega Hortas, Marcos2019-09-122019-09-122019-08-01Vidal, 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/proceedings20190210342504-3900http://hdl.handle.net/2183/23922[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.engAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Computer-aided diagnosisRetinal imagingOptical Coherence TomographyDeep learningDenseNetIntraretinal cystoid region characterizationIntraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Imagesconference outputopen access10.3390/proceedings2019021034