The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …

The early diagnosis and treatment of lung tumour, the primary cause of cancer-related
deaths globally, depend critically on the identification of lung tumours. In this approach, a …

Stomach cancer (GC) has one of the highest rates of thrombosis among cancers and can
lead to considerable morbidity, mortality, and additional costs. However, to date, there is no …

Speech research is marked as a most challenging areas among the several challenging
research areas. The present literature is analyzed and projected to aid future investigations …

The early symptoms of lung cancer, a serious threat to human health, are comparable to
those of the common cold and bronchitis. Clinical professionals can use machine learning …

Lung cancer emerges as a major factor in cancer-related fatalities in the current generation,
and it is predicted to continue having a long-term impact. Detecting symptoms early …

Abstract The Air Quality Index (AQI) in India is steadily deteriorating, leading to a rise in the
mortality rate due to Lung Cancer. This decline in air quality can be attributed to various …

Lung cancer illness seriously impacts people's health. Medical history-based detection of
lung cancers has been utilized but it has unsatisfactory results. Artificial intelligence …

Over the years, classification techniques have been widely used in various fields of
application. Intelligent models are among the most popular classification techniques …

Generative Adversarial Network (GAN) is a revolution in modern artificial systems. Deep
learning-based Generative adversarial networks generate realistic synthetic tabular data …