Enhanced automatic lung segmentation using graph cut for Interstitial Lung Disease

Radiologists are known to suffer from fatigue and drop in diagnostic accuracy due to large number of slices to read and long working hours. A computer aided diagnosis (CAD) system could help lighten the workload. Segmentation is the first step in a CAD system. This study aims to propose an accurate...

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Bibliographic Details
Main Authors: Ming, J. T. C., Noor, N. M., Rijal, O. M., Kassim, R. M., Yunus, A.
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/59253/1/ThanChiaMing2014_EnhancedAutomaticLungSegmentation.pdf
http://eprints.utm.my/id/eprint/59253/
http://www.dx.doi.org/10.1109/IECBES.2014.7047479
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Institution: Universiti Teknologi Malaysia
Language: English