Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration-Reference-Cited by-同舟云学术

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration

Published:2016-02-25 Issue:3 Volume:43 Page:1487-1500
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Sun Kaiqiong¹,Udupa Jayaram K.²,Odhner Dewey²,Tong Yubing²,Zhao Liming³,Torigian Drew A.²

Affiliation:

1. School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China

2. Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104

3. Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 and Research Center of Intelligent System and Robotics, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funder

National Natural Science Foundation of China (NSFC)

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1118/1.4942486

Reference44 articles.

1. Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images

2. Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation