Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

Early and accurate detection of lung cancer is essential for improving patient outcomes and
reducing mortality rates. On a range of medical image processing applications in recent …

Lung cancer is one of the most deadly diseases in emergent world, and early discovery of
lung cancer is challenging. The diagnosis and treatment of lung cancer has been one of the …

Lung cancer is a formidable global health challenge, representing a major cause of
Mortalities. One of the main causes of cancer mortality globally, lung cancer demands …

Technology and artificial intelligence play a significant role in improving healthcare and
enable tasks to be automated. In addition, the diseases can be better understood and …

High sensitivity and accuracy result in detection and classification improved the chances of
survival for lung cancer patients significantly. To accomplish this goal, Computer-Aided …

The incorporation of deep learning and image processing techniques has rendered the
early identification of lung cancer critical and simple. There are an astounding five million …

Due to growing lung cancer rates and COVID19 pandemic awareness, automated lung
cancer diagnosis has garnered focus in recent years. In medical image processing …

The World Health organization (WHO) recent statistics show that Cancer is a life-threatening
disease that causes 10 million deaths every year around the globe. Lung Cancer is a …

Lung cancer is one of the most harmful malignant tumors to human health. The accurate
judgment of the pathological type of lung cancer is vital for treatment. Traditionally, the …