Titlebook: Congress on Smart Computing Technologies; Proceedings of CSCT Jagdish Chand Bansal,Harish Sharma,Antorweep Chakr Conference proceedings 20

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Diabetic Retinopathy Detection from Retinal Fundus Images Using Pretrained Convolutional Neural Neted for the ophthalmologist. In this research, pretrained convolutional neural network (CNN), VGG19 is used to detect DR in retinal fundus images. The Asia Pacific Tele-Ophthalmology Society 2019 Blindness Detection (APTOS 2019 BD) dataset was utilized in this study which was collected by India’s Ara

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,Auto-encoder Convolutıonal Neural Network (AECNN) for Apple Fruit Flower Detection, lessening the image noise, so the exact flower identification can be ensured. The next phase of the work handles the highlight extraction for diminishing the quality of the prime assets which are needed for handling without compromising on data applicable. By applying Local Binary Pattern (LBP), su

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