Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Lung cancer is the second most prominent cancer in men and women, and it is also the
leading cause of cancer-related mortality. If lung cancer is diagnosed early, when it is …

Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …

Human disease detection using medical images with algorithmic severity prediction is
unexplored. Deep learning algorithms for disease identification and classification from …

Lung cancer is regarded as one of the most lethal diseases endangering human survival. It
is difficult to detect lung cancer in its early stages, because of the ambiguity in the lung …

Lung cancer is a kind of harmful cancer type that originates from the lungs. In this research,
the lung lobe segmentation is carried out using Markov Random Field (MRF)-based Artificial …

The super‐resolution (SR) reconstruction of a single image is an important image synthesis
task especially for medical applications. This paper is studying the application of image …

Lung cancer is the most fatal disease in recent times. Early detection of the same is very
crucial and challenging task. Therefore, proper diagnostic and treatment strategies should …

Disease identification across multiple modalities remains a challenging task. Recent
research has explored early, automatic disease prediction using single modality inputs and …

The COVID-19 pandemic has had a huge influence on human lives all around the world.
The virus spread quickly and impacted millions of individuals, resulting in a large number of …