Titlebook: IoT Technologies for Health Care; 8th EAI Internationa Susanna Spinsante,Bruno Silva,Rossitza Goleva Conference proceedings 2022 ICST Insti

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Detection of Diabetic Retinopathy Using CNNich affect the vision of the patient. Hence, diabetic retinopathy may lead to blindness in some cases if not detected earlier. Therefore, early detection of this disease is required to prevent vision loss. In this paper, deep learning techniques were used to produce a good performance in detecting a

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Automatic Classification of Diabetic Retinopathy Through Segmentation Using CNNt levels of microstructures like microaneurysm, rough exudates as well as neovascularization could take place on the retina area due to disruption to the retinal blood vessels triggered by elevated blood glucose levels. This is one of the primary causes of the prevalent visual impairment/blindness d

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Pulp Stone Detection Using Deep Learning Techniquesing techniques have been applied for timely and better analysis, as well as conclusive results. However, dental radiographs are detailed, and some of these details are fine and vague, making them difficult to interpret. With the help of deep learning techniques, the automated uncovering of these fin

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Identification of Drug-Drug Interactions Using OCRications such as labels package identifications, and many blind assistance applications. OCR is widely used for this purpose. Precisely, for the drug label identification. It can be used to detect the Drug-Drug Interaction (DDI) which considers as one of the challenging tasks in public health safety

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IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurw. In several situations and domains, listening tests can be expensive and complex to arrange, and different variables may influence their reliability, such as ambiguous terminology or contextual biases. To help mitigate these aspects, an analysis of subjective sound quality perception enabled by an

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