The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps
doctors to manage patients in high workload conditions. In addition, it prevents the spread of …

Segmentation of biomedical images is the method of semiautomatic and automatic detection
of boundaries within 2D and 3D images. The major challenge of medical image …

Purpose To derive and validate an effective radiomics-based model for differentiation of
COVID-19 pneumonia from other lung diseases using a very large cohort of patients …

Convolutional Neural Networks (CNNs) have been successfully applied in the medical
diagnosis of different types of diseases. However, selecting the architecture and the best set …

Abstract Background and objective Computer-Aided Detection (CAD) systems save
radiologists time and provide a second opinion in detecting lung cancer by performing …

This paper delves into a comprehensive exploration of health IoT architecture and its
implementation technologies, considering both theoretical and practical aspects. The study …

In recent years, computer vision technology has been widely used in the field of medical
image processing. However, there is still a big gap between the existing breast mass …

Due to the complex mathematical structures of the models in engineering, heuristic methods
which do not require derivative are developed. This paper improves recently developed …

Nowadays, COVID-19 is considered to be the biggest disaster that the world is facing. It has
created a lot of destruction in the whole world. Due to this COVID-19, analysis has been …

Intelligent defect detection systems based on deep learning have substantial potential to be
applied in segmenting defects of aluminum casting parts' X-ray images. The success of data …