Automated Detection of Diabetic Retinopathy using a Binocular Siamese-Like Convolutional Network
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[1] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[2] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[3] Asoke K. Nandi,et al. Automated detection and grading of hard exudates from retinal fundus images , 2011, 2011 19th European Signal Processing Conference.
[4] Rishab Gargeya,et al. Automated Identification of Diabetic Retinopathy Using Deep Learning. , 2017, Ophthalmology.
[5] V. Sudha,et al. Diabetic Retinopathy Detection , 2020, International Journal of Engineering and Advanced Technology.
[6] Hans Limburg,et al. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. , 2017, The Lancet. Global health.
[7] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[8] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[9] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[10] Subhashini Venugopalan,et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.
[11] S. Haneda,et al. [International clinical diabetic retinopathy disease severity scale]. , 2010, Nihon rinsho. Japanese journal of clinical medicine.
[12] W. Ambrosius,et al. Application of Random Forests Methods to Diabetic Retinopathy Classification Analyses , 2014, PloS one.
[13] Atif Bin Mansoor,et al. Image processing and classification in diabetic retinopathy: A review , 2014, 2014 5th European Workshop on Visual Information Processing (EUVIP).