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Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network
Diabetic Retinopathy is a global health problem, influences 100 million individuals worldwide, and in the next few decades, these incidences are expected to reach epidemic proportions.
Digit Recognition Using Convolution Neural Network
In pattern recognition, digit recognition has always been a very challenging task.
Advances in Computer-Aided Diagnosis of Diabetic Retinopathy
Diabetic Retinopathy is a critical health problem influences 100 million individuals worldwide, and these figures are expected to rise, particularly in Asia.
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet
Skin cancer is primarily diagnosed visually employing clinical screening, a biopsy, dermoscopic analysis, and histopathological examination.
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