Output details
11 - Computer Science and Informatics
Kingston University
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Output 0 of 0 in the submission
Article title
Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
27
Issue number
4
First page of article
467
ISSN of journal
0278-0062
Year of publication
2008
Number of additional authors
3
Additional information
<28> This paper presents an efficient 3D Computer Aided Segmentation method for different types of pulmonary nodules (with high/low contrast, with vasculature attachment or in close vicinity of the lung wall/diaphragm). Tested on 815 nodules the segmentation results were visually inspected by a radiologist with a success rate above 95%. The results show the proposed method enhances radiologists’ performance and is a very cost effective diagnostic tool. It received approvals by FDA (USA) and CE (EU) and a high citation rate. The underlying algorithm is integrated into commercial applications used by companies such as Vital Images, Viatronix and Terarecon. -.-
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
69
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
