Theranostics · 2018 · 188 citations · 16 references
ComputingComputer ScienceOphthalmologyArtificial IntelligenceComputer VisionMachine LearningAge-related Macular DegenerationComputer-aided DiagnosisDeep LearningMacular DegenerationOptical Coherence TomographyTelemedicineAdvanced Age-related Macular DegenerationAge-related Macular Degeneration DetectionAge-related Macular Degeneration DiagnosisAi-based PracticeComputer-aided Macular DiagnosisConvolutional Neural Network DetectionConvolutional Neural NetworksDeep Learning-based Lesion Classification
Artificial intelligence (AI) based on convolutional neural networks (CNNs) has a great potential to enhance medical workflow and improve health care quality. Of particular interest is practical implementation of such AI-based software as a cloud-based tool aimed for telemedicine, the practice of providing medical care from a distance using electronic interfaces. Methods: In this study, we used a dataset of labeled 35,900 optical coherence tomography (OCT) images obtained from age-related macular degeneration (AMD) patients and used them to train three types of CNNs to perform AMD diagnosis.
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David Huang, Eric A. Swanson, Charles P. Lin et al. · Science · 1991 · 13.7K citations
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel Kermany, Michael H. Goldbaum, Wenjia Cai et al. · Cell · 2018 · 4.7K citations · Full text
Anne E. Fung, Geeta A. Lalwani, Philip J. Rosenfeld et al. · American Journal of Ophthalmology · 2007 · 972 citations
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen, Samuel Yang, D. Michael Ando et al. · Cell · 2018 · 680 citations · Full text