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Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy

Purpose: Diabetic retinopathy is the leading cause of blindness, affecting over 93 million people. An automated clinical retinal screening process would be highly beneficial and provide a valuable second opinion for doctors worldwide. A computer-aided system to detect and grade the retinal images wo...

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書目詳細資料
發表在:J Med Imaging (Bellingham)
Main Authors: Narayanan, Barath Narayanan, Hardie, Russell C., De Silva, Manawaduge Supun, Kueterman, Nathaniel K.
格式: Artigo
語言:Inglês
出版: Society of Photo-Optical Instrumentation Engineers 2020
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7309178/
https://ncbi.nlm.nih.gov/pubmed/32613029
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.7.3.034501
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