The medical community has more concern on lung cancer analysis. Medical experts'
physical segmentation of lung cancers is time-consuming and needs to be automated. The …

Lung cancer is one of the leading causes of cancer mortality. The overlapping of cancer
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …

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 illnesses are lung-affecting illnesses that harm the respiratory mechanism. Lung
cancer is one of the major causes of death in humans internationally. Advance diagnosis …

Lung tumor is a complex disease caused due to the irregular growth of lung cells. A key
factor in effective treatment planning is the early detection of lung tumor. Visual similarity …

Cancer is of the major reasons of human death universally, one of the deadliest types of
cancer is lung cancer, that causes the highest rate of the dead in both genders combined …

Lung is a major part of our body. Any disease in the lung can affect the whole respiratory
system. Lung cancer is considered one of the most dangerous types of cancer where the …

Lung cancer is a condition that has a major impact on public health. Convolutional Neural
Network (CNN) and DenseNet approaches are suggested in this study to aid lung cancer …

Lung cancer claimed the lives of more than 1.5 million people globally in 2017, making up
26% of all cancer-related deaths. In response to this difficult circumstance, a number of …

Deep learning was a valuable and effective modeling object classification technique.
Furthermore, since huge datasets for clinical images were not always accessible, there are …