Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images
Version 1Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not discovered in time. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the algorithms must be accurate in order to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm utilizes a maximum-margin binary classifier in a flexible framework that is able to detect the most common DR-related lesions such as mi
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Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not discovered in time. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the algorithms must be accurate in order to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm utilizes a maximum-margin binary classifier in a flexible framework that is able to detect the most common DR-related lesions such as mi