Image segmentation is a crucial aspect of machine vision in which usable information is
collected from an input image. This relevant information might range from detecting …

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 …

Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …

Deep learning algorithms will be used to detect lung nodule anomalies at an earlier stage.
The primary goal of this effort is to properly identify lung cancer, which is critical in …

Diagnosis of benign–malignant nodules in the lung on Computed Tomography (CT) images
is critical for determining tumor level and reducing patient mortality. Deep learning-based …

Currently, cancer has become a common disease which afflicts the survival of people. Lung
cancer is one of the cancer types for which early intervention and detection is especially …

Several pathologies have a direct impact on society, causing public health problems.
Pulmonary diseases such as Chronic obstructive pulmonary disease (COPD) are already …

The development of a computer-aided detection system is a critical component of clinical
decision-making As the death rate grows, cancer has become a major concern for both men …

Lung cancer is the stereotypical cancer after breast cancer in this era. The survival rate in
this cancer is less than other cancers as well. Lung cancer screening can help find cancer at …

With the development of digital image technology, judging diseases by medical image plays
an important role in medical diagnosis. Mammography is the most effective imaging …