Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai Conference proceedings 2021 The Editor(s) (if applicable) and The Author(s), under e

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,Towards the Localisation of Lesions in Diabetic Retinopathy,representations in CNNs may capture higher-level semantics at the expense of spatial resolution. To make predictions usable for ophthalmologists, we use a post-attention technique called Gradient-weighted Class Activation Mapping (Grad-CAM) on the penultimate layer of deep learning models to produce

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Effect of Adaptive Histogram Equalization of Orthopedic Radiograph Images on the Accuracy of Implanand contrast. The use of cement in alloplastics particularly hinders this process. This article presents considerations on how to increase the effectiveness of the active contour method when segmenting these implants using adaptive histogram equalization. Radiogram analyses are presented and a binar

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Identification Diseases Using Apriori Algorithm on DevOps,ost, minimized risk, and the ability to manage change and prioritize it. We also need to reduce the time taken to gain customer feedback, so as to meet the customer needs. We must have a fast process and good communication in place as provided by DevOps. The health care industry generates a lot of d

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IoT for Diabetics: A User Perspective,re. One area within the healthcare industry where humans are directly impacted by the use of IoT, is in monitoring of patients with chronic diseases, such as diabetes. The number of patients living with diabetes has increased drastically in recent years and is predicted to keep rising. The use of Io

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