Texture feature extraction for the lung lesion density classification on computed tomography scan image

Texture feature extraction for the lung lesion density classification on computed tomography scan image

The radiology examination by computed tomography (CT) scan is an early detection of lung cancer to minimize the mortality rate. However, the assessment and diagnosis by an expert are subjective depending on the competence and experience of a radiologist. Hence, a digital image processing of CT scan...

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Bibliographic Details
Main Authors: Hasnely, Hanung Adi Nugroho, Sunu Wibirama, Budi Windarta, Lina Choridah
Format: Article
Language:English
Published: Komunitas Ilmuwan dan Profesional Muslim Indonesia 2016-05-01
Series:Communications in Science and Technology
Subjects:
classification
density
CT scan image
lung cancer
Online Access:http://cst.kipmi.or.id/index.php/cst/article/view/14/6

Internet

http://cst.kipmi.or.id/index.php/cst/article/view/14/6

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