Computer aided detection system was developed to identify the pulmonary nodules to
diagnose the cancer cells. Main aim of this research enables an automated image analysis …

The objective of this work is to identify the malignant lung nodules accurately and early with
less false positives. In our work block histogram based auto center seed k-means clustering …

Lung cancer is one of the dangerous and life taking disease in the world. However, early
diagnosis and treatment can save life. Although, CT scan imaging is best imaging technique …

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 …

The automated Computer Aided Diagnosing (CAD) system is proposed in this paper for
detection of lung cancer form the analysis of computed tomography images. To produce a …

Cancer is one of the most serious and widespread disease that is responsible for large
number of deaths every year. Among all different types of cancers, lung cancer is the most …

The cancer of lung has been one of the major threats to human life for decades in developed
and developing countries. The Computer Aided Detection CAD could be a powerful tool for …

Background: Lung cancer is one of the leading causes of cancer-related deaths. Computer-
aided diagnosis systems facilitate the radiologists in early diagnosis of pulmonary nodules. It …

A lung nodule is a tiny growth that develops in the lung. Non-cancerous nodules do not
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …

Automatic lung disease detection is a critical challenging task for researchers because of the
noise signals getting included into creative signals amid the image capturing process which …