Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model
Abstract We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and spectral domain-optical coherence tomograph...
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Autores principales: | , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2020
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Acceso en línea: | https://doaj.org/article/13bcdaeaa2c84e4db26f61e511de5669 |
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