Lung nodule segmentation is an important division of automated disease screening systems
in cancer identification. The morphological variations of lung nodules correspond to chances …

An effective fuzzy auto-seed cluster means morphological algorithm developed in this work
to segment the lung nodules from the consecutive slices of Computer Tomography (CT) …

Lung cancer is the primary cause of tumor deaths for both sexes in most countries. Lung
nodule, an abnormality which leads to lung cancer is detected by various medical imaging …

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 …

This paper discusses the formation of Lung cancer detection system by using the techniques
of Image processing. The system formed can take any type of medical image within the three …

One of the leading causes of cancer death for both men and women is the lung cancer. The
best way to improve the patient's chances for survival is the early detection of potentially …

Lung cancer is one of the main reasons for death in the world among both men and women,
with an impressive rate of about five million deadly cases per year. Computed Tomography …

Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …

Lung cancer is one of the most common forms of cancer leading to over a million deaths per
year throughout the world. The aim of this paper is to identify the pulmonary nodules in …

Recently, the medical image processing is extensively used in several areas. In earlier
detection and treatment of these diseases is very helpful to find out the abnormality issues in …