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 …

Abstract Computer Aided Diagnosis (CAD) systems for automatic detection of pulmonary
diseases and lung cancer mainly depend on the segmentation of different pulmonary …

At present, medical images have played a more and more important role in clinical
treatment. Lung images provide an important reference for doctors to make a diagnosis …

There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …

Blood pressure (BP) changes with age are widespread, and systemic high blood pressure
(HBP) is a significant contributor for strokes and cognitive impairment. A non-invasive …

A new 3D segmentation method based on the level set technique is proposed. The main
contribution is a robust evolutionary model that requires no fine tuning of parameters. A …

Performing accurate and fully automated lung segmentation of high-resolution computed
tomography (HRCT) images affected by dense abnormalities is a challenging problem. This …

Lung segmentation on thoracic CT images plays an important role in early detection,
diagnosis and 3D visualization of lung cancer. The segmentation accuracy, stability, and …

Accurate lung segmentation from large-size 3-D chest-computed tomography images is
crucial for computer-assisted cancer diagnostics. To efficiently segment a 3-D lung, we …

This paper overviews one of the most important, interesting, and challenging problems in
oncology, early diagnosis of prostate cancer. Developing effective diagnostic techniques for …