Introduction The goal of this paper is to present a critical review of major Computer-Aided
Detection systems (CADe) for lung cancer in order to identify challenges for future research …

Background: One of the primary causes of tumor death in the world is lung cancer. Lung
cancer is caused by abnormalities in the lung called nodules. Different medical imaging …

Abstract Background CADe and CADx systems for the detection and diagnosis of lung
cancer have been important areas of research in recent decades. However, these areas are …

This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Developing an effective computer-aided …

Lung cancer is a common type of cancer that requires early diagnosis due to its often fatal
consequences. Computer image processing techniques may be useful to increase the …

Automatic lung nodule detection has great significance for treating lung cancer and
increasing patient survival. This work summarizes a critical review of recent techniques for …

Lung nodules are potential manifestations of lung cancer, and their early detection facilitates
early treatment and improves patient's chances for survival. For this reason, CAD systems for …

Purpose The aim of this work is to evaluate the potential of combining different computer-
aided detection (CADe) methods to increase the actual support for radiologists of automated …

Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Lung cancer is the leading cause of cancer deaths in men and women in the United States,
with a 5‐year survival rate of only about 13%. However, this survival rate can be improved to …