By Topic

Curvature based analysis of internal structure of pulmonary nodules using thin-section CT images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Y. Kawata ; Dept. of Opt. Sci., Tokushima Univ., Japan ; N. Niki ; H. Ohmatsu ; R. Kakinuma
more authors

A curvature based representation is introduced for characterization, of benign and malignant pulmonary nodules in thin-section CT images. Through curvatures a local description of the pulmonary nodule images is obtained using shape index, curvedness, and CT value. Based on this local description, a multiscale shape spectrum is derived to globally represent the 3D pulmonary nodule image. The classification effectiveness of shape spectral features is evaluated for four different regions: (i) entire 3D pulmonary nodule; (ii) core region in the 3D pulmonary nodule; (iii) complement of the core region in the 3D pulmonary nodule; (iv) neighborhood region surrounding the 3D pulmonary nodule

Published in:

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Date of Conference:

4-7 Oct 1998