Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy

Microaneurysm detection using fully convolutional neural networks

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3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

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HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network

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Fully Convolutional Networks for Semantic Segmentation

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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

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Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

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Shared acoustic codes underlie emotional communication in music and speech—Evidence from deep transfer learning

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Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

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Diabetic retinopathy

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Reevaluating the Definition of Intraretinal Microvascular Abnormalities and Neovascularization Elsewhere in Diabetic Retinopathy Using Optical Coherence Tomography and Fluorescein Angiography

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Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy

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Deep learning

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Probability Weighted Ensemble Transfer Learning for Predicting Interactions between HIV-1 and Human Proteins

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The worldwide epidemic of diabetic retinopathy

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