An IoT Framework to Support Rural Population with Diabetic Related Issues via Optimization Algorithms

Currently, image processing and IoT technologies are notable in unravelling various challenges for medical imaging. The use of the proposed method is known to include high-risk disorders such as diabetic cardiomyopathy and diabetic myonecrosis. This research aims to study the development and segmentation of the cross-sectional image of the capillary blood of a diabetic’s right coronary artery picture and also to use IoT sensors. There are restrictions on clinical diagnosis and analysis of medical images collected by different testing methods that are currently available in a given problem. This medical image analysis is to be done in a new way by changing the algorithm based on both image processing and IoT systems.