Call For Paper Volume:4 Issue:10 Oct'2017 |

CAD for Lung Cancer Detection: A Review

Publication Date : 01/08/2015



Author(s) :

Rakesh Kumar Khare , G R Sinha , Sushil Kumar.


Volume/Issue :
Volume 2
,
Issue 7
(08 - 2015)



Abstract :

Lung cancer is the major cause of death in the world. Computer Tomography (CT) is the best imaging modality among various modalities for the detection of small pulmonary nodule. Computer-aided-diagnosis (CAD) system using images processing is used to extract the presence of lung cancer cell in CT image of patients. In order to increase radiologist’s diagnosis performance and survival of patient, several CAD techniques have been implemented and developed to improve the detection of this disease. We have studied and reviewed several methods for detection and highlighted the limitation of the methods. Many results were tested over the real time databases of the images in consultation with a senior physician and radiologist. The images were collected of lung cancer CT images from Radio diagnosis department of Pt. J. N. M. Medical College, Raipur, India for research work. Keywords— CAD, Computed tomography CT), lung cancer, medical image, diagnosis.


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CAD for Lung Cancer Detection: A Review

July 31, 2015