Output details
11 - Computer Science and Informatics
Kingston University
Article title
Shape based computer-aided detection of lung nodules in thoracic CT images
Type
D - Journal article
Title of journal
IEEE Transactions on Biomedical Engineering
Article number
-
Volume number
56
Issue number
7
First page of article
1810
ISSN of journal
0018-9294
Year of publication
2009
Number of additional authors
4
Additional information
<28> A new Computer-Aided Detection method for lung nodules detection (solid and ground-glass opacity types) is presented. Validated on a clinical dataset of 108 thoracic CT scans (185 solid and 35 GGO nodules) it gave an average detection rate of 90.2%, (8.2 FP/scan). The high detection rate, fast computation and applicability to different imaging conditions/nodule types proved suitable for clinical practice. Patent has been granted (Dehmeshki sole inventor), approvals received by FDA (US) and CE (EU) and it attracted a high citation rate. Method is integrated in commercial applications and used by companies such as Vital Images, Viatronix, Terarecon.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
43
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
