Computer Aided Analysis System for Detection of Lung Cancer with Content Based Image Retrieval
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 11
Abstract
Lung Cancer is the unrestrained expansion of Abnormal cells and it is the main reason for casualty of many people .So there is a need for detection of Lung Cancer at the early stage .This paper is based on detection of Lung cancer using Content Based Image Retrieval(CBIR) .It is urban on human lung cancer region .The presence of lung nodule is detected at the early stage of occurrence. Computed Tomography or Magnetic Resonance Images are given as input to the CAD (Computer Aided Diagnosis) .A CAD is a system that is designed by the integration of medical science and computers. CBIR is based on the features of an image. There are various phase describe in the proposed CAD system. These are withdrawal of lung section from chest computer tomography (CT) images, pre-processing, and segmentation of the lung region using graph-cut method, feature extraction from the segmented region, and the classification of occurrence and non-occurrence of nodules in the Lung. This paper describes the on hand literature and the technique used for the detection of lung cancer.
Authors and Affiliations
K. Lakshmi Vadivoo, D. Jenifer, T. Ratha Jeya Lakshmi
Keywords
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