Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …

Lung cancer is one of the leading causes of mortality in every country, affecting both men
and women. Lung cancer has a low prognosis, resulting in a high death rate. The computing …

Lung cancer is known to be one of the most dangerous diseases which are the main reason
for disease and death when diagnosed in primitive stages. Since lung cancer can only be …

Lung cancer is one of the significant reasons for death among India. Many diagnosis and
detection of lungs cancer has been done using various data analysis and classification …

Lung cancer is one of the leading causes of death in Malaysia and around the world [1]. In
2018, lung cancer had the highest percentage of new cases and deaths worldwide, by …

This paper aims at the requirement for an interactive learning framework which empowers
the successful checking of disorder in a patient. Principal component analysis stands out as …

The analysis and study of lung diseases has been the most intriguing investigation zone of
medical experts from early days to the present day. To address this concern, a diagnosis …

Cancer is a very common disease type in worldwide. There are many types of cancer. Lung
cancer is the most common type of cancer. Lung cancer which is common in both men and …

This paper proposes a novel data classification framework, combining sparse auto-encoders
(SAEs) and a post-processing system consisting of a linear system model relying on Particle …