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 …

Detection of malignant lung nodules from Computed Tomography (CT) images is a
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …

Computer-assisted diagnosis is of significance in the timely treatment of lung cancer with
classifying benign and malignant pulmonary nodules. Aiming at improving the low accuracy …

Lung cancer has been the leading cause of cancer-related deaths worldwide. Early
detection of cancer greatly increases the chances for successful treatment and diagnosis …

With the number of lung cancers' morbidity and mortality is showing a trend of increasing
year by year, the demand for pathologists is increasing rapidly, so in this study, we aimed to …

Lung cancer has a mortality rate that is significantly greater than other forms of cancer,
making it the second biggest cause of death worldwide after cardiovascular disease …

Lung cancer is one of the most common life-threatening worldwide cancers affecting both
the male and female populations. The appearance of nodules in the scan image is an early …

In the proposed work, a convolution neural network (CNN) based model has been used to
identify the cancer disease in human lung (s). Moreover, this approach identifies the single …

Lung cancer is one of the leading causes of mortality in both men and women throughout
the world. That is why early identification and treatment of lung cancer patients bear a huge …

Pulmonary nodules serve as critical indicators for early lung cancer diagnosis, making their
detection and classification essential. The prevalent use of transfer learning in recognition …