CASIA OpenIR  > 中国科学院分子影像重点实验室
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach
Gu, Yuhua1; Kumar, Virendra1; Hall, Lawrence O.2; Goldgof, Dmitry B.2; Li, Ching-Yen2; Korn, Rene3; Bendtsen, Claus4; Velazquez, Emmanuel Rios5; Dekker, Andre5; Aerts, Hugo5; Lambin, Philippe5; Li, Xiuli6; Tian, Jie6; Gatenby, Robert A.1; Gillies, Robert J.1
Source PublicationPATTERN RECOGNITION
2013-03-01
Volume46Issue:3Pages:692-702
SubtypeArticle
AbstractA single click ensemble segmentation (SCES) approach based on an existing "Click & Grow" algorithm is presented. The SCES approach requires only one operator selected seed point as compared with multiple operator inputs, which are typically needed. This facilitates processing large numbers of cases. Evaluation on a set of 129 CT lung tumor images using a similarity index (SI) was done. The average SI is above 93% using 20 different start seeds, showing stability. The average SI for 2 different readers was 79.53%. We then compared the SCES algorithm with the two readers, the level set algorithm and the skeleton graph cut algorithm obtaining an average SI of 78.29%, 77.72%, 63.77% and 63.76%, respectively. We can conclude that the newly developed automatic lung lesion segmentation algorithm is stable, accurate and automated. (C) 2012 Elsevier Ltd. All rights reserved.
KeywordImage Features Delineation Lung Tumor Lesion Ct Region Growing Ensemble Segmentation
WOS HeadingsScience & Technology ; Technology
WOS KeywordGRAPH-CUTS ; VARIABILITY ; CANCER ; ALGORITHMS ; VOLUMES ; NODULES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000313385700008
Citation statistics
Cited Times:69[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4106
Collection中国科学院分子影像重点实验室
Corresponding AuthorGoldgof, Dmitry B.
Affiliation1.H Lee Moffitt Canc Ctr & Res Inst, Dept Imaging, Tampa, FL 33612 USA
2.Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33620 USA
3.Definiens AG, D-80339 Munich, Germany
4.AstraZeneca, Discovery Sci, Macclesfield SK10 4TG, Cheshire, England
5.Univ Hosp Maastricht, Dept Radiat Oncol, Maastricht, Netherlands
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Med Image Proc Grp, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Gu, Yuhua,Kumar, Virendra,Hall, Lawrence O.,et al. Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach[J]. PATTERN RECOGNITION,2013,46(3):692-702.
APA Gu, Yuhua.,Kumar, Virendra.,Hall, Lawrence O..,Goldgof, Dmitry B..,Li, Ching-Yen.,...&Gillies, Robert J..(2013).Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.PATTERN RECOGNITION,46(3),692-702.
MLA Gu, Yuhua,et al."Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach".PATTERN RECOGNITION 46.3(2013):692-702.
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