The introduction of deep learning has had a profound impact on medical research, providing
priceless insights and disease-specific prognostic skills. By improving the detection of lung …

Lung cancer is a highly perilous illness ranking as one of the primary causes of disease and
death, particularly when diagnosed in its initial stages. It presents significant challenges, as …

Lung nodules are important signs that lung cancer is present. Early detection increases a
patient's survival rate through allowing for timely treatment initiation. Researchers created …

This study investigates how well image-based detection and classification of lung cancer
may be achieved with Convolutional Neural Networks (CNNs). The goal of the project is to …

Lung cancer is one of the world's deadliest cancers and one of the highest mortality rates.
There has been a recent increase in the prevalence of lung cancer. The key aim of this …

Early recognition of lung nodules is critical for the effective conclusion and treatment of lung
cancer. Numerous scientists have attempted various strategies, for example, thresholding …

Effective lung cancer diagnosis and treatment hinge on the early detection of lung nodules.
Various techniques, such as thresholding, pattern recognition, computer-aided diagnostics …

Lung cancer is one of the deadliest cancer types that exists today. At an early stage, deep
learning techniques assist radiologists in classifying the malignant pulmonary nodules of …

Lung cancer aids a substantial global health issue, requiring the enlargement of precise and
efficient diagnostic techniques. For the purpose of classification of different forms of lung …

Lung cancer incidence is more than any other type of cancer. The death rate due to lung
cancer can be avoided if it is detected earlier with the help of Computed Tomography (CT) …