Abnormal growths in the lungs caused by disease. The classification of CT scans is
accomplished by applying machine learning strategies. Classification methods based on …

Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …

Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …

Deep learning has accelerated the technological evolution of the current era to a greater
extent. Conventional classification systems rely on laborious feature engineering process …

Lung cancer has one of the worst mortality rates and incidence rates of any prevalent
cancers around the world, and sufferers have a better chance of surviving if the illness is …

Lung carcinoma was the first leading cause of death when compared to all other cancer.
Early-stage detection of a lung nodule is an important step to prevent death and to increase …

Lung cancer is the most prevalent malignancy that cannot be avoided and that causes late
health care death. At now, CT scans can be used to assist physicians to diagnose early …

Now a days, The digital image recognition techniques are extensively used in a couple of
therapeutic domains for image improvement in earlier division and treatment stages, where …

Lung cancer is a significant public health concern, and early identification can improve
patient outcomes. Advanced machine learning approaches can increase the precision of …

When it comes to cancer and its linked disorders, lung cancer is consistently ranked among
the top causes of mortality. The primary method for making the diagnosis is to do a scan …