Lung cancer is a high-risk disease that causes mortality worldwide; nevertheless, lung
nodules are the main manifestation that can help to diagnose lung cancer at an early stage …

摘要为了解决基本麻雀搜索算法(sparrow search algorithm, SSA) 依赖初始种群和求解精度不
高的问题, 提出一种基于Circle 混沌映射和随机游走的改进的麻雀优化算法(improved sparrow …

Coronavirus pandemic (COVID-19) has infected more than ten million persons worldwide.
Therefore, researchers are trying to address various aspects that may help in diagnosis this …

As everyone knows that in today's time Artificial Intelligence, Machine Learning and Deep
Learning are being used extensively and generally researchers are thinking of using them …

Scientific research into methodologies and algorithms to improve support for medical
diagnoses remains in high demand on the agenda. Computer-aided diagnostic systems that …

The segmentation of medical images is a significant challenge for computer vision and
medical techniques. In the lungs, the difficulty is mainly due to the presence of lung …

Coal particle characteristic extraction is essential to prevent dust explosions. It is traditionally
analyzed by manual screening, which is relatively time-consuming and cannot automatically …

A recent development in marketing tools aimed at boosting sales involves the use of three-
dimensional pattern films. These films are designed to captivate customers' interest by …

Abstract According to the World Health Organization (WHO) report, lung disorders are the
third leading cause of mortality worldwide. Approximately three million individuals are …

To evaluate the application of machine learning for the detection of subpleural pulmonary
lesions (SPLs) in ultrasound (US) scans, we propose a novel boundary-restored network …