Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach
文献类型：期刊论文
| 作者 | 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 |
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2013-03-01 |
| 卷号 | 46期号:3页码:692-702 |
| 关键词 | Image features Delineation Lung tumor Lesion CT Region growing Ensemble segmentation |
| 英文摘要 | A 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | GRAPH-CUTS ; VARIABILITY ; CANCER ; ALGORITHMS ; VOLUMES ; NODULES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000313385700008 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4106]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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