Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go?

– Objective: To explore the clinical validity of elastic deformation of optical coherence tomography (OCT) images for data augmentation in the development of deep-learning model for detection of diabetic macular edema (DME). Methods: Prospective evaluation of OCT images of DME (n = 320) subject to e...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561735/
https://www.ncbi.nlm.nih.gov/pubmed/37817823
http://dx.doi.org/10.1109/JTEHM.2023.3294904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561735/
https://www.ncbi.nlm.nih.gov/pubmed/37817823
http://dx.doi.org/10.1109/JTEHM.2023.3294904

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