Parallelization of Preprocessing for Automatic Detection of Pulmonary Nodules in 3D CT Images

2020 ◽  
pp. 584-590
Author(s):  
Junpeng Weng ◽  
Yu Tang ◽  
Di Lin
Keyword(s):  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Ct Images ◽  
3D Ct

SU-E-J-51: Automatic Detection of Markers Based on Threshold Clustering in 3D CT Images for Image-Guided Radiation Therapy

2011 ◽  
Vol 38 (6Part8) ◽  
pp. 3453-3453
Author(s):  
J Jia ◽  
S Huang ◽  
J Li ◽  
X Pei ◽  
R Cao
Keyword(s):  
Radiation Therapy ◽  
Automatic Detection ◽  
Ct Images ◽  
3D Ct ◽  
Image Guided Radiation Therapy ◽  
Image Guided ◽  
J 51

scholarly journals Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient data

2020 ◽  
Vol 10 (10) ◽  
pp. 1917-1929
Author(s):  
Chenyang Liu ◽  
Shen-Chiang Hu ◽  
Chunhao Wang ◽  
Kyle Lafata ◽  
Fang-Fang Yin
Keyword(s):  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Ct Images ◽  
Patient Data

Curvature-based internal structure analysis of pulmonary nodules using thoracic 3D CT images

2001 ◽  
Vol 32 (11) ◽  
pp. 9-19 ◽  
Author(s):  
Yoshiki Kawata ◽  
Noboru Niki ◽  
Hironobu Ohmatsu
Keyword(s):  
Internal Structure ◽  
Structure Analysis ◽  
Pulmonary Nodules ◽  
Ct Images ◽  
3D Ct

Tracking time interval changes of pulmonary nodules on follow-up 3D CT images via image-based risk score of lung cancer

2013 ◽  
Author(s):  
Y. Kawata ◽  
N. Niki ◽  
H. Ohmatsu ◽  
M. Kusumoto ◽  
T. Tsuchida ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Risk Score ◽  
Pulmonary Nodules ◽  
Ct Images ◽  
Time Interval ◽  
3D Ct ◽  
Tracking Time

Automatic detection of pulmonary nodules in CT images by incorporating 3D tensor filtering with local image feature analysis

2018 ◽  
Vol 46 ◽  
pp. 124-133 ◽  
Author(s):  
Jing Gong ◽  
Ji-yu Liu ◽  
Li-jia Wang ◽  
Xi-wen Sun ◽  
Bin Zheng ◽  
...  
Keyword(s):  
Pulmonary Nodules ◽  
Automatic Detection ◽  
Ct Images ◽  
Image Feature ◽  
Feature Analysis ◽  
Local Image

scholarly journals Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests

2012 ◽  
pp. 66-74 ◽  
Author(s):  
Rémi Cuingnet ◽  
Raphael Prevost ◽  
David Lesage ◽  
Laurent D. Cohen ◽  
Benoît Mory ◽  
...  
Keyword(s):  
Random Forests ◽  
Automatic Detection ◽  
Ct Images ◽  
3D Ct
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