Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/7709
Title: Chest X-ray features extraction for lung cancer classification
Authors: Patil, S A
Udupi, V R
Keywords: Active shape model (ASM)
Chest X-ray
Gray level co-occurrence matrix (GLCM)
Lung field segmentation
Issue Date: Apr-2010
Publisher: CSIR
Abstract: This study presents a computer algorithm, which consists of four main steps (image acquisition, image pre-processing, nodule candidate detection, and feature extraction) for nodule detection in chest radiographs. Algorithm is applied on small-cell type of lung cancer (SCLC) and non-small-cell type of lung cancer (NSCLC) images. Total 50 images (25 from each category) were used to estimate geometrical and texture features. Active shape model (ASM) was used for lung field segmentation. Gray level co-occurrence matrix (GLCM) was used to estimate texture features.
Description: 271-277
URI: http://hdl.handle.net/123456789/7709
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.69(04) [April 2010]

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