Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning

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Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images

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Microaneurysm Detection Using Principal Component Analysis and Machine Learning htbp c ab1 *These authors contributed equally.

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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

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An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

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

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Increased Oxidative and Nitrative Stress Accelerates Aging of the Retinal Vasculature in the Diabetic Retina

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A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy

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