The number of people dying from lung cancer in the world is increasing day by day.
Therefore, early diagnosis of lung cancer holds a prominent position for the recovery of …

In recent days, Internet of Things (IoT) based image classification technique in the
healthcare services is becoming a familiar concept that supports the process of detecting …

Recently, researchers have shown an increased interest in the early diagnosis and
detection of lung cancer using the characteristics of computed tomography (CT) images. The …

In this paper, we have proposed a hybrid bio-inspired algorithm which takes the merits of
whale optimization algorithm (WOA) and adaptive particle swarm optimization (APSO). The …

Lung cancer is a poorly understood disease. Smokers may develop lung cancer due to the
inhalation of carcinogenic substances while smoking, but nonsmokers may develop this …

A serious condition with a high death and morbidity rate worldwide is lung cancer. To
increase the likelihood that a person will survive, early diagnosis is urgently required …

Abstract According to World Health Organisation (WHO), lung cancer is the leading cause of
cancer-related fatalities in both genders and has the highest fatality rate. Early detection of …

Lung cancer is the leading cause of death worldwide. Early diagnosis is crucial to improve
patients' chance of survival. Automated detection and analysis of cancer types can …

Lung cancer is one of the main causes of death and illness, and malignant lung tumours are
the leading cause of both. According to reports, lung cancer incidence is on the rise. Lung …

Lung tumor detection using computer-aided modeling improves the accuracy of detection
and clinical recommendation precision. An optimal tumor detection requires noise reduced …