Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images
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http://hdl.handle.net/2183/23922
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Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography ImagesData
2019-08-01Cita bibliográfica
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
Resumo
[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.
Palabras chave
Computer-Aided diagnosis
Retinal imaging
Optical Coherence Tomography
Deep learning
DenseNet
Intraretinal cystoid region characterization
Retinal imaging
Optical Coherence Tomography
Deep learning
DenseNet
Intraretinal cystoid region characterization
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Atribución 4.0 Internacional (CC BY 4.0)
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2504-3900