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Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images

PURPOSE: Although optical coherence tomography (OCT) is essential for ophthalmologists, reading of findings requires expertise. The purpose of this study is to test deep learning with image augmentation for automated detection of chorioretinal diseases. METHODS: A retina specialist diagnosed 1,200 O...

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Podrobná bibliografie
Vydáno v:J Ophthalmol
Hlavní autoři: Kuwayama, Soichiro, Ayatsuka, Yuji, Yanagisono, Daisuke, Uta, Takaki, Usui, Hideaki, Kato, Aki, Takase, Noriaki, Ogura, Yuichiro, Yasukawa, Tsutomu
Médium: Artigo
Jazyk:Inglês
Vydáno: Hindawi 2019
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6481014/
https://ncbi.nlm.nih.gov/pubmed/31093370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/6319581
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