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 …

RECIST (Response Evaluation Criteria in Solid Tumors) is a widely employed method
introduced in 2000 to assess change in tumor size in response to therapy. The simplicity of …

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

Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …

In this paper, a new computer tomography (CT) lung nodule computer-aided detection
(CAD) method is proposed for detecting both solid nodules and ground-glass opacity (GGO) …

This paper presents an efficient algorithm for segmenting different types of pulmonary
nodules including high and low contrast nodules, nodules with vasculature attachment, and …

Volumetric growth assessment of pulmonary lesions is crucial to both lung cancer screening
and oncological therapy monitoring. While several methods for small pulmonary nodules …

We present new pulmonary nodule segmentation algorithms for computed tomography (CT).
These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid …

A new variational level set approach is proposed for lung nodule segmentation in lung CT
scans. A general lung nodule shape model is proposed using implicit spaces as a signed …

Accurate segmentation of a pulmonary nodule is an important and active area of research in
medical image processing. Although many algorithms have been reported in literature for …