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Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography.

, , , , and . BMC Medical Informatics Decis. Mak., 24 (1): 25 (December 2024)

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Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine., , , , , , and . EMBC, page 91-94. IEEE, (2011)A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease., , and . Comput. Biol. Medicine, (2020)Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques., , , , , and . Medical Biol. Eng. Comput., 51 (9): 1059-1067 (2013)Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks., , , , , , and . Comput. Methods Programs Biomed., (2020)Toward automated severe pharyngitis detection with smartphone camera using deep learning networks., , , , and . Comput. Biol. Medicine, (2020)Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era., , , , , , and . Medical Biol. Eng. Comput., 62 (2): 449-463 (February 2024)A survival prediction model of rats in hemorrhagic shock using the random forest classifier., , , , and . EMBC, page 5570-5573. IEEE, (2012)Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography., , , , and . BMC Medical Informatics Decis. Mak., 24 (1): 25 (December 2024)Advances in gradient echo myelin water imaging at 3T and 7T., , , , , , , , , and . NeuroImage, (2019)The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment., , , , , and . Medical Biol. Eng. Comput., 57 (3): 677-687 (2019)