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Quantitative surface characterization of pulmonary nodules based on thin-section CT images
IEEE Transactions on Nuclear Science
◽
10.1109/23.708321
◽
1998
◽
Vol 45
(4)
◽
pp. 2132-2138
◽
Cited By ~ 69
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
R. Kakinuma
◽
K. Eguchi
◽
...
Keyword(s):
Thin Section
◽
Surface Characterization
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
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Cited By
References
Quantitative surface characterization of pulmonary nodules based on thin-section CT images
1997 IEEE Nuclear Science Symposium Conference Record
◽
10.1109/nssmic.1997.670528
◽
2002
◽
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
R. Kakinuma
◽
K. Eguchi
◽
...
Keyword(s):
Thin Section
◽
Surface Characterization
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
Curvature-based characterization of shape and internal intensity structure for classification of pulmonary nodules using thin-section CT images
10.1117/12.348610
◽
1999
◽
Cited By ~ 2
Author(s):
Yoshiki Kawata
◽
Noboru Niki
◽
Hironobu Ohmatsu
◽
Masahiko Kusumoto
◽
Ryutaro Kakinuma
◽
...
Keyword(s):
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images
International Journal of Computer Assisted Radiology and Surgery
◽
10.1007/s11548-015-1284-0
◽
2015
◽
Vol 11
(3)
◽
pp. 337-349
◽
Cited By ~ 17
Author(s):
Ashis Kumar Dhara
◽
Sudipta Mukhopadhyay
◽
Pramit Saha
◽
Mandeep Garg
◽
Niranjan Khandelwal
Keyword(s):
Differential Geometry
◽
Pulmonary Nodules
◽
Ct Images
◽
Boundary Roughness
Download Full-text
Usefulness of concurrent reading using thin-section and thick-section CT images in subcentimetre solitary pulmonary nodules
Clinical Radiology
◽
10.1016/j.crad.2008.09.003
◽
2009
◽
Vol 64
(2)
◽
pp. 127-132
◽
Cited By ~ 22
Author(s):
H.Y. Lee
◽
J.M. Goo
◽
H.J. Lee
◽
C.H. Lee
◽
C.M. Park
◽
...
Keyword(s):
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
◽
Thick Section
◽
Solitary Pulmonary Nodules
Download Full-text
Classification of pulmonary nodules in thin-section CT images by using multi-scale curvature indexes
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348)
◽
10.1109/icip.1999.822883
◽
1999
◽
Cited By ~ 1
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
M. Kusumoto
◽
R. Kakinuma
◽
...
Keyword(s):
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
◽
Multi Scale
Download Full-text
Shape analysis of pulmonary nodules based on thin-section CT images
10.1117/12.274185
◽
1997
◽
Cited By ~ 17
Author(s):
Yoshiki Kawata
◽
Noboru Niki
◽
Hironobu Ohmatsu
◽
Kenji Eguchi
◽
Noriyuki Moriyama
Keyword(s):
Thin Section
◽
Shape Analysis
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
Curvature based analysis of internal structure of pulmonary nodules using thin-section CT images
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
◽
10.1109/icip.1998.727387
◽
2002
◽
Cited By ~ 1
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
R. Kakinuma
◽
K. Mori
◽
...
Keyword(s):
Internal Structure
◽
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
Computer-aided diagnosis of pulmonary nodules based on shape analysis using thin-section CT images
10.1117/12.310833
◽
1998
◽
Author(s):
Yoshiki Kawata
◽
Noboru Niki
◽
Hironobu Ohmatsu
◽
Ryutaro Kakinuma
◽
Kenji Eguchi
◽
...
Keyword(s):
Thin Section
◽
Shape Analysis
◽
Pulmonary Nodules
◽
Ct Images
◽
Computer Aided Diagnosis
◽
Computer Aided
◽
Aided Diagnosis
Download Full-text
Curvature based analysis of pulmonary nodules using thin-section CT images
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
◽
10.1109/icpr.1998.711154
◽
2002
◽
Cited By ~ 1
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
R. Kakinuma
◽
K. Mori
◽
...
Keyword(s):
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
Download Full-text
Classification of pulmonary nodules in thin-section CT images based on shape characterization
Proceedings of International Conference on Image Processing
◽
10.1109/icip.1997.632174
◽
2002
◽
Cited By ~ 8
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
R. Kakinuma
◽
K. Eguchi
◽
...
Keyword(s):
Thin Section
◽
Pulmonary Nodules
◽
Ct Images
◽
Shape Characterization
Download Full-text
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