Simple Summary Pulmonary nodules are considered a sign of bronchogenic carcinoma,
detecting them early will reduce their progression and can save lives. Lung cancer is the …

CAD systems for lung cancer diagnosis and detection can significantly offer unbiased,
infatiguable diagnostics with minimal variance, decreasing the mortality rate and the five …

Lung cancer starts and spreads in the tissues of the lungs, more specifically, in the tissue
that forms air passages. This cancer is reported as the leading cause of cancer deaths …

A novel unsupervised-based segmentation method is introduced to accurately delineate the
lung region in 3D CT images based on appearance and geometric models. First, a …

Objectives There is a need for CT pulmonary angiography (CTPA) lung segmentation
models. Clinical translation requires radiological evaluation of model outputs, understanding …

Artificial Intelligence (AI) is one of the big hopes for the future of a positive revolution in the
use of medical data to improve clinical routine and personalized medicine. The deep …

Lung and lung lobe segmentation are two crucial techniques for lung imaging analysis that
interact in clinical settings. Lung segmentation assists physicians in comparing different …

As a result of technological advancements, a variety of medical diagnostic systems have
grown rapidly to support the healthcare sectors. Over the past years, there has been …

Recently, Computer-Aided Diagnosis (CAD) systems have emerged as indispensable tools
in clinical diagnostic workflows, significantly alleviating the burden on radiologists …

An important concern with regard to the ensembles of algorithms is that using the
individually optimal parameter settings of the members does not necessarily maximize the …