Innovative imaging-based pre-operative planning for correction of proximal femur malunion with implants in-situ using and PowerPoint.

Background: Proximal femoral malunions with implants in-situ pose a significant challenge for pre-operative planning due to the obstruction of key anatomical landmarks. Existing planning software, while advanced, is often limited by cost, accessibility and a lack of functionality for digital implant removal. The main objective is to introduce a novel, low-cost and accessible two-step digital method for planning deformity correction using Picsart and Microsoft PowerPoint.

COVID-19 pandemic, predictions and control in Saudi Arabia using SIR-F and age-structured SEIR model.

COVID-19 has affected every individual physically or physiologically, leading to substantial impacts on how they perceive and respond to the pandemic's danger. Due to the lack of vaccines or effective medicines to cure the infection, an urgent control measure is required to prevent the continued spread of COVID-19. This can be achieved using advanced computing, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), cloud computing, and edge computing.

Fog-Based Delay-Sensitive Data Transmission Algorithm for Data Forwarding and Storage in Cloud Environment for Multimedia Applications.

Fog computing is playing a vital role in data transmission to distributed devices in the Internet of Things (IoT) and another network paradigm. The fundamental element of fog computing is an additional layer added between an IoT device/node and a cloud server. These fog nodes are used to speed up time-critical applications.

Extraction of Retinal Blood Vessels on Fundus Images by Kirsch's Template and Fuzzy C-Means.

Purpose: Accurate segmentation of retinal blood vessel is an important task in computer-aided diagnosis and surgery planning of diabetic retinopathy. Despite the high-resolution of photographs in fundus photography, the contrast between the blood vessels and the retinal background tends to be poor.

Materials And Methods: In this proposed method, contrast-limited adaptive histogram equalization is used for noise cancellation and improving the local contrast of the image.