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"Early Detection of Diabetic Foot Ulcer Using Convolutional Neural Netw" by Abdelrahman Shata and Nidhal Abdulaziz

Diabetic Foot Ulcer is a very common problem that faces diabetic patients with almost 15 percent of these patients developing a foot ulcer at least once in their life. Diabetic patients tend to suffer from numbness and loss of sensation in their feet making it hard for them to self-detect the ulcer therefore an early detection method is needed. The approach conducted in this paper uses a 2-dimentional image as an input and using convolutional neural networks to analyze the images. The system wil...
Foot Ulcer Diabetic Foot Ulcer Challenge Artificial Intelligence Convolutional Neural Networks Diabetic Foot Ulcer Image Processing
Source: uow.edu.au

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"Detection and Semantic Segmentation of Rib Fractures using a Convoluti" by Zineddine N. Haitaamar and Nidhal Abdulaziz

Rib Fractures are one of the most common bone injuries that can occur. Over 3 million cases are diagnosed in the United States alone yearly making it a very common fracture. Causes are usually from chest trauma such as falls and sports accidents. The detection of Rib Fractures is a common task in clinics and a labor-intensive such that a specialist radiologist is required to detect rib fractures. The proposed solution looks at processing CT Scans containing rib fractures with an Attention U-Net ...
United States Rib Fractures Attentionu Net Bone Fracture Convolutional Neural Networks Image Processing
Source: uow.edu.au

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