Lung cancer remains one of the leading causes of morbidity and mortality worldwide,
making early diagnosis critical for improving therapeutic outcomes and patient prognosis …

Lung cancer is the most dangerous and death-causing disease indicated by the presence of
pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the …

Pulmonary Embolism (PE) occurs when blood clots travel to the lungs from different parts of
the body. It is amongst the most lethal cardio-respiratory diseases after stroke and heart …

Early detection is crucial for lung cancer to prolong the patient's survival. Existing model
architectures used in such systems have shown promising results. However, they lack …

Early detection and identification of malignant lung nodules improve the survival of lung
cancer patients. The visual attributes such as subtlety, spiculation, and calcification of lung …

Lung nodule can cause lung cancer and so researchers do their best to detect those
nodules in their early stages. Machine learning algorithms are used to detect lung nodules …

The detection and diagnosis of early-stage lung cancer pose significant challenges due to
its asymptomatic nature. Relying on computed tomography (CT) scans for lung examination …

Cancer is a significant cause of death worldwide. Early cancer detection is greatly aided by
machine learning and artificial intelligence (AI) to gene microarray data sets (microarray …

Lung cancer is one of the leading causes of death worldwide and early detection is crucial to
reduce the mortality. A reliable computer-aided diagnosis (CAD) system can help facilitate …

This pilot study presents the application of the ensemble learning method, AdaBoost in the
detection of early-stage lung cancers. To detect the presence and variations of volatile …