Geometrical and texture features estimation of lung cancer and TB images using chest X-ray database
by S.A. Patil, V.R. Udupi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 6, No. 1, 2011

Abstract: Early detection is the most promising way to enhance a patient's chance for survival of lung cancer. Detection of disease through image is one of the most challenging tasks in medical image analysis. A computer algorithm for nodule detection in chest radiographs is presented. The algorithm includes four main steps like, image acquisition, image pre-processing, nodule detection, and feature extraction. Total 75 lung cancer and TB images are used during experiment to estimate geometrical and texture features. Manual lung field segmentation with Gray Level Co-occurrence Matrix (GLCM) techniques are used for segmentation and texture features estimation respectively.

Online publication date: Wed, 21-Jan-2015

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