Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis
significantly dependent on early-stage detection. Traditional diagnostic methods, though …

In terms of frequency and mortality, lung cancer ranks second among all cancers worldwide
for both men and women. It is suggested that pattern classification and machine learning be …

It is important to note that the cure rates in cases of advanced stages of lung cancer are
remarkably low, which stresses out the importance for early detection as means to increase …

When it comes to medical picture recognition, convolutional neural networks are now the
gold standard. The mistake in recreating the CT picture is responsible for the low overall …

In the field of healthcare, early and accurate detection of lung abnormalities is essential for
the diagnosis and effective treatment of various respiratory diseases. This study presents the …

In the field of healthcare, early and accurate detection of lung abnormalities is essential for
the diagnosis and effective treatment of various respiratory diseases. This study presents the …

As a reliable tool for identifying and classifying different illnesses, including lung cancer,
deep learning has grown significantly in popularity. It is crucial to quickly and accurately …

Deep learning is regarded as a popular and strong approach for detection and classification.
Early and precise identification of lung cancer is critical since therapy depends on the kind …