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Curvature-based internal structure analysis of pulmonary nodules using thoracic 3D CT images
Systems and Computers in Japan
◽
10.1002/scj.1066
◽
2001
◽
Vol 32
(11)
◽
pp. 9-19
◽
Cited By ~ 2
Author(s):
Yoshiki Kawata
◽
Noboru Niki
◽
Hironobu Ohmatsu
Keyword(s):
Internal Structure
◽
Structure Analysis
◽
Pulmonary Nodules
◽
Ct Images
◽
3D Ct
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Automatic segmentation of solitary pulmonary nodules based on local intensity structure analysis and 3D neighborhood features in 3D chest CT images
10.1117/12.911782
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2012
◽
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Author(s):
Bin Chen
◽
Takayuki Kitasaka
◽
Hirotoshi Honma
◽
Hirotsugu Takabatake
◽
Masaki Mori
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...
Keyword(s):
Structure Analysis
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Automatic Segmentation
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Pulmonary Nodules
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Ct Images
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Chest Ct
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Solitary Pulmonary Nodules
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Local Intensity
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Tracking time interval changes of pulmonary nodules on follow-up 3D CT images via image-based risk score of lung cancer
10.1117/12.2008113
◽
2013
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Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
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M. Kusumoto
◽
T. Tsuchida
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...
Keyword(s):
Lung Cancer
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Risk Score
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Pulmonary Nodules
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Ct Images
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Time Interval
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3D Ct
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Tracking Time
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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
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Parallelization of Preprocessing for Automatic Detection of Pulmonary Nodules in 3D CT Images
Lecture Notes in Electrical Engineering - Artificial Intelligence in China
◽
10.1007/978-981-15-0187-6_69
◽
2020
◽
pp. 584-590
Author(s):
Junpeng Weng
◽
Yu Tang
◽
Di Lin
Keyword(s):
Pulmonary Nodules
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Automatic Detection
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Ct Images
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Internal structure analysis of pulmonary nodules in topological and histogram feature spaces
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
◽
10.1109/icip.2000.900921
◽
2002
◽
Author(s):
Y. Kawata
◽
N. Niki
◽
H. Ohmatsu
◽
M. Kusumoto
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R. Kakinuma
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Keyword(s):
Internal Structure
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Structure Analysis
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Pulmonary Nodules
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Histogram Feature
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Differential diagnosis of pulmonary nodules using 3D CT images
Medical Imaging 2020: Computer-Aided Diagnosis
◽
10.1117/12.2551139
◽
2020
◽
Author(s):
Takeru Kageyama
◽
Yoshiki Kawata
◽
Noboru Niki
◽
Masahiko Kusumoto
◽
Yoshiki Aokage
◽
...
Keyword(s):
Differential Diagnosis
◽
Pulmonary Nodules
◽
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A framework for pulmonary fissure segmentation in 3D CT images using a directional derivative of plate filter
Signal Processing
◽
10.1016/j.sigpro.2020.107602
◽
2020
◽
Vol 173
◽
pp. 107602
◽
Cited By ~ 1
Author(s):
Hong Zhao
◽
Berend C. Stoel
◽
Marius Staring
◽
M. Bakker
◽
Jan Stolk
◽
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Directional Derivative
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Ct Images
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Fissure Segmentation
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Plate Filter
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Fast fully automatic detection, classification and 3D reconstruction of pulmonary nodules in CT images by local image feature analysis
Biomedical Signal Processing and Control
◽
10.1016/j.bspc.2021.102790
◽
2021
◽
Vol 68
◽
pp. 102790
Author(s):
Chung-Feng Jeffrey Kuo
◽
Jagadish Barman
◽
Chia Wen Hsieh
◽
Hsian-He Hsu
Keyword(s):
3D Reconstruction
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Pulmonary Nodules
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Automatic Detection
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Ct Images
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Image Feature
◽
Feature Analysis
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Fully Automatic
◽
Local Image
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LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
◽
10.1109/isbi48211.2021.9434023
◽
2021
◽
Author(s):
Qianfei Zhao
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Huan Wang
◽
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Keyword(s):
Neural Network
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Analysis of the advantage of individual PTVs defined on axial 3D CT and 4D CT images for liver cancer
Journal of Applied Clinical Medical Physics
◽
10.1120/jacmp.v13i6.4017
◽
2012
◽
Vol 13
(6)
◽
pp. 62-71
◽
Cited By ~ 4
Author(s):
Fengxiang Li
◽
Jianbin Li
◽
Jun Xing
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Yingjie Zhang
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Tingyong Fan
◽
...
Keyword(s):
Liver Cancer
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Ct Images
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3D Ct
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4D Ct
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