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Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening.

, , , , и . CoRR, (2017)

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Paritosh Kumar Saha

Sachindra Kumar Saha

Subodh Kumar Saha

Subodh Kumar Saha

Subodh Kumar Saha

 

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Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images., , , и . J. Medical Syst., 42 (4): 57:1-57:11 (2018)Color fundus image registration techniques and applications for automated analysis of diabetic retinopathy progression: A review., , , , и . Biomed. Signal Process. Control., (2019)Automated Quality Assessment of Colour Fundus Images for Diabetic Retinopathy Screening in Telemedicine., , , , и . J. Digit. Imaging, 31 (6): 869-878 (2018)Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening., , , , и . CoRR, (2017)A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs., , и . J. Digit. Imaging, 31 (4): 553-561 (2018)Effect of Smoothing on Sparsity Prior CT Reconstruction., , , и . DICTA, стр. 1-8. IEEE, (2014)CT reconstruction from simultaneous projections: a step towards capturing CT in One Go., , , и . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 5 (2): 87-99 (2017)A Two-Step Approach for Longitudinal Registration of Retinal Images., , , и . J. Medical Syst., 40 (12): 277:1-277:13 (2016)Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration., , , , и . IET Image Processing, 12 (6): 919-927 (2018)Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors., , и . CoRR, (2015)