Pulmonary cancer is considered as one of the major causes of death worldwide. For the
detection of lung cancer, computer-assisted diagnosis (CADx) systems have been designed …

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

Lung cancer is among the most hazardous types of cancer in humans. The correct diagnosis
of pathogenic lung disease is critical for medication. Traditionally, determining the …

Lung cancer has a poor prognosis when not diagnosed early and unresectable lesions are
present. The management of small lung nodules noted on computed tomography scan is …

Lung Cancer is the most fast growing cancer around the world and is mostly diagnosed at
an advanced stage. Due to enhancement in medical imaging modalities like Computed …

Lung cancer is a fatal disease with a high mortality rate in diseased patients. Early diagnosis
of this disease and accurately identifying the lung cancer stage can save the patients' lives …

This study was to evaluate the diagnostic value of deep learning‐optimized chest CT in the
patients with lung cancer. 90 patients who were diagnosed with lung cancer by surgery or …

Lung cancer is a leading cause of death worldwide. Currently, in differential diagnosis of
lung cancer, accurate classification of cancer types (adenocarcinoma, squamous cell …

Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …

Since accurate early detection of malignant lung nodule can greatly enhance the survival of
the patient, detection of early stage lung cancer with chest computed tomography (CT) scans …