Contourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensional CT images.

ABSTRACT:

Objective

To determine the value of contourlet textural features obtained from solitary pulmonary nodules in two dimensional CT images used in diagnoses of lung cancer.

Materials and methods

A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Further to this, nineteen patient information categories, which included seven demographic parameters and twelve morphological features, were also collected. A contourlet was used to extract fourteen types of textural features. These were then used to establish three support vector machine models. One comprised a database constructed of nineteen collected patient information categories, an

SUBMITTER: Wang J 

PROVIDER: S-EPMC4177406 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature