NDLI: Automatic segmentation for medical image with the optimized tree structured part model

Content Provider	IEEE Xplore Digital Library
Author	Zhou, Lifang Zhang, Qi Li, Weisheng
Copyright Year	2015
Description	Author affiliation: School of Software Engineering, Chongqing University of Posts and Telecommunications, China, Chongqing (Zhou, Lifang; Zhang, Qi) \|\| School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China, Chongqing (Li, Weisheng)
Abstract	Organ disease, such as liver and spleen, is the common disease with high morbidity worldwide, and the operative therapy is one of the major method for the organ disease therapy. The computer assisted surgery before the operation has the instructive effect on the clinical therapy, disease diagnosis, and surgical planning. This paper presents the optimized tree structured part model for automatic organ segmentation. The Optimized Tree Structured Part model (OTSPM) contains two parts. The first part uses the structure to discriminatively capture the topological shape variation. The other part is used to get the local part feature. For liver segmentation, the paper propose a convex concave point (CCP) method to automatically choose the most salient point to represent the local part feature, which explicitly describes the partial structure. Compared with the traditional shape model method, this improved method can get better organ segmentation effect. The model can be effectively applied to organ segmentation and it also can get high accuracy than traditional model.
Starting Page	463
Ending Page	467
File Size	657348
Page Count	5
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401549
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Solid modeling organ segmentation Image edge detection Computational modeling Liver deformable model Mathematical model automatic segmentation Biomedical imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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